Books
2024
[B5] K. Gai, J. Yu, and L. Zhu. Introduction to Cybersecurity in the Internet of Things, CRC Press, 2024, ISBN: 9781032690391.2022
[B4] H. Jin, Q. Pei, K. Gai, Y. Gao, and WeBank. Technical Principle of Blockchain, Chinese High Education Press, 2022, ISBN: 978-7-04-057093-9. (Chinese)2019
[B3] L. Zhu, K. Gai, and M. Li. Blockchain Technology in Internet of Things, Springer, 2019, ISBN: 978-3-030-21765-5.2017
[B2] M. Qiu and K. Gai. Introduction to Mobile Cloud Computing: Models, Implementation, and Security, CRC Press, ISBN 9781498796033.2016
[B1] M. Qiu, W. Dai, and K. Gai. Mobile Applications Development with Android: Technologies and Algorithms, CRC Press, 2016. ISBN 9781498761864.Full List of Journal Papers
2025
[J90] K Gai, Z Wang, J Yu, L Zhu, "MUFTI: Multi-Domain Distillation-based Heterogeneous Federated Continuous Learning", IEEE Transactions on Information Forensics and Security, PP(99), 1, 2025.[J89]S Wang, K Gai, J Yu, Z Zhang, L Zhu, "Pravfed: Practical heterogeneous vertical federated learning via representation learning", IEEE Transactions on Information Forensics and Security, PP(99), 1, 2025.
[J88] Z Ngoupayou Limbepe, K Gai*, J Yu, "Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey", Blockchains 3 (1), 1, 2025.
[J87] Y. Miao, K. Gai*, J. Yu, T. Tan, L. Zhu, and W. Meng. "Blockchain-Empowered Keyword Searchable Provable Data Possession for Large Similar Data". IEEE Transactions on Information Forensics and Security, 20: 1374-1389, 2025.
2024
[J86] J. Xiao, J. Chang, L. Lin, B. Li, X. Dai, Z. Xiong, K.K.R. Choo, K. Gai, and H. Jin. "Cloak: Hiding Retrieval Information in Blockchain Systems via Distributed Query Requests". IEEE Transations on Service Computing, 17(6): 3213-3226, 2024.[J85] J. Wang, S. Gao. G. Li, K. Gai, and B. Xiao. "SAMCU: Secure and Anonymous Multi-Channel Updates in Payment Channel Networks". IEEE Transations on Information Forensics and Security, 19: 9115-9128, 2024.
[J84] X Wang, Z Guan, L Wu, K Gai. “Toward Secure and Robust Federated Distillation in Distributed Cloud: Challenges and Design Issues”, IEEE Network, 38(4): 151-157, 2024.
[J83] Y Wang, C Li, Y Zhang, T Li, J Ning, K Gai, KKR Choo. “A Detection Method Against Selfish Mining-Like Attacks Based On Ensemble Deep Learning in IoT”, IEEE Internet of Things Journal, 11(11): 19564-19574, 2024.
[J82] Y Wan, X Xie, J Chen, K Xie, D Yi, Y Lu, K Gai. “ADS-CNN: Adaptive Dataflow Scheduling for lightweight CNN accelerator on FPGAs”, Future Generation Computer Systems, 158: 138-149, 2024.
[J81] Y Wei, K Gai*, J Yu, L Zhu, KKR Choo. “Trustworthy Access Control for Multiaccess Edge Computing in Blockchain-Assisted 6G Systems”, IEEE Transactions on Industrial Informatics, 20(5): 7732-7743, 2024.
2023
[J80] Y Miao, K Gai*, L Zhu, KKR Choo, J Vaidya. “Blockchain-based Shared Data Integrity Auditing and Deduplication”, IEEE Transactions on Dependable and Secure Computing, 21(4): 3688-3703, 2023.[J79] T Xie, K Gai*, L Zhu, Y Guo, KKR Choo. "Cross-Chain-Based Trustworthy Node Identity Governance in Internet of Things", IEEE Internet of Things Journal, 10(24): 21580-21594, 2023.
[J78] Z. Zhang, X. Liu, M. Li, H. Yin, L. Zhu, B. Khoussainov, K Gai. "HCA: Hashchain-based Consensus Acceleration via Re-voting", IEEE Transactions on Dependable and Secure Computing, 21(2): 775-788 (2024)
[J77] T. Xie, K. Gai*, L. Zhu, S. Wang, Z. Zhang. "RAC-Chain: An Asynchronous Consensus-based Cross-chain Approach to Scalable Blockchain for Metaverse", ACM Transactions on Multimedia Computing, Communications and Applications, 20(7): 187:1-187:24 (2024)
[J76] Z. Li, C. Huang, K. Gai*, Z. Lu*, J. Wu, L. Chen, Y. Xu, and KKR Choo, "AsyFed: Accelerate Federated Learning with Asynchronous Communication Mechanism", IEEE Internet of Things Journal, 10(10): 8670-8683, 2023.
[J75] Z. Ma, J. Wang, K. Gai*, P. Duan, Y. Zhang, and S. Luo, "Fully homomorphic encryption-based privacy-preserving scheme for cross edge blockchain network", Journal of System Architecture, 13, pages 102782, 2023.
[J74] K. Gai, H. Tang, G. Li, T. Xie, S. Wang, L. Zhu, amd K-K.R. Choo, "Blockchain-based Privacy-preserving Positioning Data Sharing for IoT-Enabled Maritime Transportation Systems", IEEE Transactions on Intelligent Transportation Systemss, 24(2), pages 2344-2358, 2023.
2022
[J73] K. Gai, S. Wang, H. Zhao, Y. She, Z. Zhang, and L. Zhu, "Blockchain-based Multisignature Lock for UAC in Metaverse", IEEE Transactions on Computational Social Systems, 10(5): 2201-2213 (2023)[J72] Y. Zhang, K. Gai*, J. Xiao, L. Zhu, K-K.R. Choo, "Blockchain-Empowered Efficient Data Sharing in Internet of Things Settings", IEEE Journal on Selected Areas in Communications, 40(12), pages 3422 - 3436, 2022.
[J71] K. Gai, Y. Zhang, M. Qiu, B. Thuraisingham, "Blockchain-Enabled Service Optimizations in Supply Chain Digital Twin", IEEE Transactions on Services Computing, 16(3): 1673-1685 (2023)
[J70] T. Wu, W. Wang, C. Zhang, W. Zhang, L. Zhu, K. Gai, and H. Wang, "Blockchain-based Anonymous Data Sharing with Accountability for Internet of Things", IEEE Internet of Things Journal, 10(6, March 15): 5461-5475 (2023).
[J69] X. Du, S. Tang, Z. Lu, K. Gai, J. Wu, PCK. Hung, "Scientific Workflows in IoT Environments: A Data Placement Strategy Based on Heterogeneous Edge-Cloud Computing", ACM Transactions on Management Information Systems, 13(4), pages 1-26, 2022.
[J68] S. Tang, X. Du, Z. Lu*, K. Gai*, J. Wu, PCK. Hung, K.K.R. Choo, "Coordinate-based efficient indexing mechanism for intelligent IoT systems in heterogeneous edge computing", Journal of Parallel and Distributed Computing, 166, pages 45-56, 2022.
[J67] K Gai, Y. She, L Zhu, KKR Choo, and Z Wang, "A Blockchain-based Access Control Scheme for Zero Trust Cross-organizational Data Sharing", ACM Transactions on Internet Technology, accepted, 2022.
[J66] K Gai, Q. Xiao, M. Qiu, G. Zhang, J. Chen, Y. Wei, and Y. Zhang, "Digital Twin-Enabled AI Enhancement in Smart Critical Infrastructures for 5G", ACM Transactions on Sensor Networks, accepted, 2022.
[J65] K Gai, Y Ding, A Wang, L Zhu, KKR Choo, Q Zhang, Z Wang, "Attacking the Edge-of-Things: A Physical Attack Perspective", IEEE Internet of Things Journal, 9(7), pages 5240 - 5253, 2022.
2021
[J64] KKR Choo, K Gai, L Chiaraviglio, Q Yang, "A multidisciplinary approach to Internet of Things (IoT) cybersecurity and risk management", Computers & Security 102, 102136, 2021.[J63] KKR Choo, K Gai, L Chiaraviglio, "Blockchain-enabled secure communications in smart cities", Journal of Parallel and Distributed Computing 152, 125-127, 2021.
[J62] Y. Xu, Z. Lu, K Gai*, Q. Duan, J. Lin, J. Wu, KKR Choo, "BESIFL: Blockchain Empowered Secure and Incentive Federated Learning Paradigm in IoT", IEEE Internet of Things Journal, PP(99), pages 1, 2021.
[J61] Y Ding, L Zhu, A Wang, Y Li, Y Wang, SM Yiu, K. Gai. “A Multiple Sieve Approach Based on Artificial Intelligent Techniques and Correlation Power Analysis”. ACM Transactions on Multimedia Computing, Communications, and Applications , 17(2s), pages 1-21, 2021.
[J60] W. Chen, Y. Yu, K. Gai*, J. Liu, KK-R, Choo. “Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing”. ACM Transactions on Internet Technology, 21(3), pages 1-17, 2021.
2020
[J59] P Jiang, B Qiu, L Zhu, K. Gai. “SearchBC: A Blockchain-Based PEKS Framework for IoT Services”. IEEE Internet of Things Journal, 8(6), pages 5031-5044, 2020.[J58] K. Gai, J. Guo, L. Zhu, S. Yu. “Blockchain Meets Cloud Computing: A Survey”. IEEE Communications Surveys and Tutorials, 22(3), pages 2009-2030, 2020.
[J57] K. Gai, Z. Fang, R. Wang, L. Zhu, P. Jiang, KKR Choo. “Edge Computing and Lightning Network Empowered Secure Food Supply Management”. IEEE Internet of Things Journal, 9(16), pages 14247-14259, 2020.
[J56] K. Gai, Y. Wu, L. Zhu, KKR Choo, B. Xiao. “Blockchain-Enabled Trustworthy Group Communications in UAV Networks”. IEEE Transactions on Intelligent Transportation Systems, 22(7), pages 4118-4130, 2020.
[J55] F. Gao, L. Zhu, K. Gai, C. Zhang, S. Liu. “Achieving a Covert Channel over an Open Blockchain Network”. IEEE Network magazine, 34(2), pages 6-13, 2020.
[J54] L. Chen, Y. Xu, Z. Lu, J. Wu, K. Gai*, PCK Hung, M. Qiu. “IoT Microservice Deployment in Edge-cloud Hybrid Environment Using Reinforcement Learning”. IEEE Internet of Things Journal, 8(16), pages 12610-12622, 2020.
[J53] K. Gai, X. Qin, L. Zhu. “An Energy-aware High Performance Task Allocation Strategy in Heterogeneous Fog Computing Environments”. IEEE Transactions on Computers, 70(4), pages 626-639, 2020.
[J52] N. Shang, A. Wang, Y. Ding, K. Gai, L. Zhu, G. Zhang. “A machine learning based golden-free detection method for command-activated hardware Trojan”. Information Sciences, vol. 540, pages 292-307, 2020.
[J51] Z. Lu, K. Gai, Q. Duan, KKR Choo, J. Li, J. Wu, Y. Xu “Machine Learning Empowered Content Delivery: Status, Challenges and Opportunities”. IEEE Network, 34(6), pages 228-234, 2020.
[J50] Z. Zhang, N. Avazov, J. Liu, B. Khoussainov, X. Li, K. Gai, L. Zhu. “WiPOS: A POS Terminal Password Inference System Based on Wireless Signals”. IEEE Internet of Things Journal, 7(8), pages 7506-7516, 2020.
[J49] W. Wang, G. Li, K. Gai, Y. Tang, B. Yang, X. Si . “Modelization and analysis of dynamic heterogeneous redundant system”. Concurrency and Computation: Practice and Experience, pages e6035, 2020.
2019
[J48] K. Gai, Y. Wu, L. Zhu, Z. Zhang and M. Qiu. “Differential Privacy-based Blockchain for Industrial Internet of Things”. IEEE Transactions on Industrial Informatics, 16(6), pages 4156- 4165, 2019.[J47] K. Gai, Z. Lu, M. Qiu and L. Zhu. “Toward Smart Treatment Management for Personalized Healthcare”, IEEE Network magazine, vol. 33, no.6, pages 30-36, 2019.
[J46] K. Gai, L. Zhu, M. Qiu, K. Xu and K.K.R. Raymond. “Multi-Access Filtering for Privacy-preserving Fog Computing”, IEEE Transactions on Cloud Computing, 10(1), 539-552, 2019.
[J45] K. Gai, K. Xu, Z. Lu, M. Qiu, and L. Zhu. “Fusion of Cognitive Wireless Networks and Edge Computing”. IEEE Wireless Communication magazine, 26(3), 69-75, 2019.
[J44] K. Gai, Y. Wu, L. Zhu, L. Xu and Y. Zhang. “Permissioned Blockchain and Edge Computing Empowered Privacy-preserving Smart Grid Networks”. IEEE Internet of Things Journal, vol. 6, no. 5, pages 7992-8004, 2019.
[J43] K. Gai, Y. Wu, L. Zhu, M. Qiu and, M. Shen. “Privacy-preserving Energy Trading Using Consortium Blockchain in Smart Grid”. IEEE Transactions on Industrial Informatics, vol. 15, no. 6, pages 3548-3558, 2019.
[J42] G. Li, W. Wang, K. Gai*, Y. Tang, B. Yang and X. Si. “A framework for mimic defense system in cyberspace”, Journal of Signal Processing and Systems, pages 1-17, 2019.
[J41] K. Gai, K.K.R. Choo and L. Zhu. “Blockchain Facilitated N-Layer Data (Pool) Sharing in the Cloud”, IEEE Blockchain Newsletter, 2019.
[J40] M. A. Rahim, L. Zhu, X. Li, J. Liu, Z. Zhang, Z. Qin, S. Khan, K. Gai, “Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme”, IEEE Transactions on Vehicular Technology, 69(1), pages 163-171, 2019.
[J39] J He, Z Zhang, L Zhu, Z Zhu, J Liu, K. Gai, “An Efficient and Accurate Nonintrusive Load Monitoring Scheme for Power Consumption”, IEEE Internet of Things Journal, 6 (5), 9054-9063.
2018
[J38] K. Gai and M. Qiu, “Reinforcement Learning-based Content-Centric Services in Mobile Sensing”, IEEE Network Magazine, vol. 32, no. 4, pages 34-39, IEEE, 2018.[J37] K. Gai, K.K.R. Choo, M. Qiu, and L. Zhu. “Privacy-Preserving Content-Oriented Wireless Communication in Internet-of-Things”, IEEE Internet-of-Things Journal, vol. 5, no. 4, pages 3059-3067, IEEE, 2018.
[J36] K. Gai, K.K.R. Choo and L. Zhu. “Blockchain-Enabled Reengineering of Cloud Datacenters”, IEEE Cloud Computing, vol. 5, no. 6, IEEE, 2018.
[J35] K. Gai, M. Qiu, Z. Xiong and M. Liu. “Optimal Resource Allocation Using Reinforcement Learning for IoT Content-Centric Services”, Applied Soft Computing, vol. 70, pages 12-21, Elsevier, 2018.
[J34] K. Gai, M. Qiu, Z. Xiong and M. Liu. “Privacy-Preserving Multi-Channel Communication in Edge-of-Things”, Future Generation Computer Systems, vol. 85, pages 190-200, Elsevier, 2018.
[J33] K. Gai, M. Qiu, M. Liu, and Z. Xiong, “In-Memory Big Data Analytics Under Space Constraints Using Dynamic Programming”, Future Generation Computer Systems, vol. 83, pages 219- 227, Elsevier, 2017.
[J32] L. Zhu, Y. Wu, K. Gai* and K.K.R. Choo. “Controllable and Trustworthy Blockchain-based Cloud Data Management”, Future Generation Computer Systems, vol. 91, Elsevier, 2018.
[J31] K. Gai and M. Qiu, “Blend Arithmetic Operations on Tensor-based Fully Homomorphic Encryption Over Real Numbers”, IEEE Transactions on Industrial Informatics, vol. 14, no. 8, pages 3590-3598, 2018.
[J30] K. Gai, M. Qiu, and H. Zhao , “Energy-Aware Task Assignment for Mobile Cyber-Enabled Applications in Heterogeneous Cloud Computing”, Journal of Parallel and Distributed Computing, vol. 111, pages 126-135, 2018.
[J29] R. Xu, L. Zhu, A. Wang, X. Du, KKR Choo, G. Zhang, K. Gai, “Side-channel Attack on a Protected RFID Card”, IEEE Access, pages 58395-58404, 2018.
2017
[J28] M. Qiu, K. Gai*, and Z. Xiong, “Privacy-Preserving Wireless Communications Using Bipartite Matching in Social Big Data”, Future Generation Computer Systems, vol. 87, pages 772-781, 2017.[J27] K. Gai, M. Qiu, and X. Sun“A survey on FinTech”, Journal of Network and Computer Applications, vol. PP, pages 1, 2017.
[J26] M. Qiu, K. Gai, H. Zhao, and M. Liu. “Privacy-Preserving Smart Data Storage for Financial Industry in Cloud Computing”, Concurrency and Computation: Practice and Experience, vol. PP, no. 99, pp. 1, 2017.
[J25] K. Gai, M. Qiu, H. Zhao, and X. Sun. “Resource Management in Sustainable Cyber-Physical Systems Using Heterogeneous Cloud Computing”, IEEE Transactions on Sustainable Computing, vol. 3, no. 2, pages 60-72, IEEE, 2017.
[J24] K. Gai, M. Qiu, and H. Zhao. “Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing”, IEEE Transactions on Big Data, vol. PP, no. 99, IEEE, 2017.
[J23] K. Gai and M. Qiu. “Spoofing-Jamming Attack Strategy Using Optimal Power Distributions in Wireless Smart Grid Networks”, IEEE Transactions on Smart Grid, vol. 8, no. 5, pages 2431- 2439, IEEE, 2017, IF(2014/2015): 6.645.
[J22] K. Gai, M. Qiu, M. Chen, and H. Zhao. “SA-EAST: Security-Aware Efficient Data Transmission for ITS in Mobile Heterogeneous Cloud Computing”, ACM Transactions on Embedded Computing Systems, vol. 16, no. 2, pages: 60, 2017. IF(2014/2015): 0.471.
[J21] Y. Li, K. Liang, X. Tang, and K. Gai. “Cloud-Based Adaptive Particle Swarm Optimization for Waveband Selection in Big Data”, Journal of Signal Processing Systems, vol. 90, no. 8-9, pages 1105-1113, Springer, 2017.
[J20] Y. Li, K. Gai*, L. Qiu, M. Qiu, and H. Zhao. “Intelligent Cryptography Approach for Secure Distributed Big Data Storage in Cloud Computing”, Information Sciences (INS), vol. 387, pp. 103- 115, Elsevier, 2017, IF: 4.038.
[J19] K. Gai, M. Qiu, and H. Hassan. “Secure cyber incident analytics framework using Monte Carlo simulations for financial cybersecurity insurance in cloud computing”, Concurrency and Computation: Practice and Experience, vol. 29, no. 7, pp. 1-13, 2017, IF: 0.997.
2016
[J18] K. Gai, M. Qiu, X. Sun, and H. Zhao. “Smart Data Deduplication for Telehealth Systems in Heterogeneous Cloud Computing”, Journal of Communications and Information Networks (JCIN), 1(4), pages: 93-104, Springer, 2016.[J17] K. Gai, M. Qiu, and H. Zhao. “Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing”, IEEE Transactions on Cloud Computing, 2016.
[J16] H. Zhao, M. Qiu, M. Chen, and K. Gai. “Cost-Aware Optimal Data Allocations for Multiple Dimensional Heterogeneous Memories Using Dynamic Programming in Big Data”, Journal of Computational Science, vol. 26, pages 402-408, 2016, IF: 1.231.
[J15] Y. Li, K. Gai, M. Qiu, W. Dai, and M. Liu. “Reconfigurable Hardware Using Binarization-Based Human Detections with Customized Classifier”, Wiley’s Concurrency and Computation Practice and Experience, 2016, IF: 0.971.
[J14] Y. Li, K. Gai, Z. Ming, H. Zhao, and M. Qiu. “Intercrossed access controls for secure financial services on big multimedia in cloud systems”, ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), vol. 12, no. 4s, pages 1-18, ACM, 2016, IF(2015/2016): 0.982.
[J13] L. Ma, L. Tao, K. Gai, and Y. Zhong. “A novel social network access control model using logical authorization language in cloud computing”, Concurrency and Computation: Practice and Experience, vol. 29, no. 14, pages e3893, 2016, IF: 0.997.
[J12] M. Qiu, K. Gai, B. Thuraisinghamb, L. Tao, and H. Zhao, Proactive user-centric secure data scheme using attribute-based semantic access controls for mobile clouds in financial industry, Future Generation Computer Systems (FGCS), vol. 80, pages 421-429, 2016, IF: 2.786.
[J11] S. Ding, X. He, J. Wang, B. Qiao, and K. Gai. “Static node center opportunistic coverage and hexagonal deployment in hybrid crowd sensing”, Journal of Signal Processing Systems, vol. 86, no. 2-3, pages 251-267, Springer, 2016, IF: 0.6.
[J10] K. Gai, M. Qiu, H. Zhao, L. Tao, and Z. Zong. Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, vol. 59, pp. 46-54, Elsevier, 2016. IF: 2.229. ScienceDirect Top 25 Most Downloaded Article Award.
[J9] K. Gai, M. Qiu, L. Tao, and Y. Zhu. Intrusion detection techniques for mobile cloud computing in heterogeneous 5G. Security and Communication Networks, 9(16): 3049-3058, Wiley, 2016. IF: 0.72.
2015
[J8] M. Qiu, M. Zhong, J. Li, K. Gai, and Z. Zong. Phase-change memory optimization for green cloud with genetic algorithm. IEEE Transactions on Computers, 64(12):3528-3540, 2015. IF: 1.659.[J7] H. Zhao, M. Chen, M. Qiu, K. Gai, and M. Liu. A novel pre-cache schema for high performance Android system. Future Generation Computer Systems, vol. 56, pages 766-772, Elsevier, 2015. IF: 2.786.
[J6] M. Qiu, D. Cao, H. Su, and K. Gai. Data transfer minimization for financial derivative pricing using Monte Carlo simulation with GPU in 5G. International Journal of Communication Systems, vol. 29 no. 16, pages 2364-2374, Wiley, 2015. IF: 1.106.
2014
[J5] K. Gai and A. Steenkamp. A feasibility study of Platform-as-a-Service using cloud computing for a global service organization. Journal of Information System Applied Research, 7:28–42, 2014.[J4] K. Gai. A review of leveraging private cloud computing in financial service institutions: Value propositions and current performances. International Journal of Computer Applications, 95(3):40– 44, 2014. IF: 0.715.
2013
[J3] A. Steenkamp, A. Alawdah, O. Almasri, K. Gai, N. Khattab, C. Swaby, and R. Abaas. Enterprise architecture specification case study. Journal of Information System Education, 24(2):105, 2013.2012
[J2] K. Gai. An analysis of investing a learning management systems developer in china. Shandong Social Sciences, 12:041, 2012. (In Chinese)2009
[J1] K. Gai and J. Pan. Human resource management: A case study of the air traffic controller strike in 1981. China Management Informationization, 12(15):61–65, 2009.Full List of Conference Papers
2024
[C117]Y Tang, J Yu, K Gai, J Zhuang, G Xiong, Y Hu, Q Wu. “Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval”, Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5180-5188, 2024. CCF- A 类[C116] Yili Li, Jing Yu, Keke Gai, Bang Liu, Gang Xiong, Qi Wu: T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval. ACM Multimedia 2024: 3955-3963. CCF- A 类
[C115] Xiangyan Qu, Jing Yu, Keke Gai, Jiamin Zhuang, Yuanmin Tang, Gang Xiong, Gaopeng Gou, Qi Wu: Visual-Semantic Decomposition and Partial Alignment for Document-based Zero-Shot Learning. ACM Multimedia 2024: 4581-4590 CCF- A 类
[C104] Zhitong Zhu, Jing Yu, Keke Gai, Jiamin Zhuang, Gaopeng Gou, Gang Xiong: Flexible Semantic Watermarking for Robust Diffusion Model Detection and Tracing. MMAsia 2024: 118:1-118:7
[C113] Shufen Fang, Keke Gai, Jing Yu: A Joint Client-Server Watermarking Framework for Federated Learning. KSEM (4) 2024: 424-436
[C112] Haochen Liang, Yunwei Guo, Jing Yu, Hao Dong, Keke Gai: KDTSS: A Blockchain-Based Scheme for Knowledge Data Traceability and Secure Sharing. KSEM (4) 2024: 412-423
[C111] Shuo Wang, Jing Yu, Keke Gai, Liehuang Zhu: ReVFed: Representation-Based Privacy-Preserving Vertical Federated Learning with Heterogeneous Models. KSEM (3) 2024: 386-397
[C110] Mengjie Guo, Keke Gai, Jing Yu: Adversarial Examples for Preventing Diffusion Models from Malicious Image Edition. KSEM (3) 2024: 373-385
[C109] Zhengkang Fang, Keke Gai, Jing Yu, Yihang Wei, Zhentao Wei, Weilin Chan: KEEN: Knowledge Graph-Enabled Governance System for Biological Assets. KSEM (3) 2024: 248-260
[C108] Hao Dong, Haochen Liang, Jing Yu, Keke Gai: DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. KSEM (2) 2024: 117-129
[C107] Yili Li, Jing Yu, Keke Gai, Gang Xiong: IIU: Independent Inference Units for Knowledge-Based Visual Question Answering. KSEM (4) 2024: 109-120
[C106] Chennan Guo, Tianxiu Xie, Keke Gai: Index Multilinear Tree-based Cross Chain for Decentralized Identity Governance. HPSC 2024: 60-65
[C105] Shuo Wang, Zhengkang Fang, Keke Gai: LRPAFL: Layer-Wise Relevance Propagation-Based Adaptive Federated Learning. CSCloud 2024: 174-179
[C104] Jun Zhu, Keke Gai, Peng Jiang, Liehuang Zhu: Lightweight Privacy-Preserving Mechanisms for Cross-Chain Transactions. CSCloud 2024: 59-64
[C103] Zhengkang Fang, Jing Yu, Shufen Fang, Shuo Wang, Weilin Chan, Zexin Gao, Keke Gai: A Trustworthy Biological Assets Governance System Using Decentralized Identity. CSCloud 2024: 36-41
[C102] Zijun Wang, Hongchen Guo, Keke Gai: Decision Tree-based Privacy Protection in Federated Learning: A Survey. BigDataSecurity 2024: 119-124
[C101] Yong Lin, Peng Jiang, Keke Gai, Liehuang Zhu: Exploiting Multi-Model Collaborative Inference for Privacy Enhancement in Text Classification. BigDataSecurity 2024: 58-65
2023
[C1100] S Wang, K Gai*, J Yu, L Zhu. “BDVFL: Blockchain-based Decentralized Vertical Federated Learning”, 2023 IEEE International Conference on Data Mining (ICDM), 628-637, 2023. CCF- B 类[C99] H Liang, Y Guo, K Gai. “A Blockchain-Based Hierarchical Storage Method for Supply Chain Data”, 2023 IEEE 8th International Conference on Smart Cloud (SmartCloud), 105-110, 2023.
[C98] H Zhang, T Xie, W Chan, H Guo, K Gai. “Time-Aware Relay Chain-Based Committee Consensus for Decentralized Identity”, 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 8-15, 2023.
[C97] Y Feng, T Xie, W Chan, H Guo, K Gai. “A Verifiable Dispersal Consensus and Identity Aggregation-Based Trustworthy Decentralized Identity Governance”, 2023 International Conference on High Performance Big Data and Intelligent Systems (HDIS), 204-211, 2023.
[C96] Z Lei, K Gai, J Yu, S Wang, L Zhu, KKR Choo. “Efficiency-enhanced Blockchain-based Client Selection in Heterogeneous Federated Learning”, 2023 IEEE International Conference on Blockchain (Blockchain), 289-296, 2023.
[C95] S Tang, J Liu, X Luo, P Jiang, K Gai, L Xu, L Zhu, "Blockchain-Empowered Search Over Encrypted Data With Forward and Backward Privacy", Proceedings of the 5th ACM International Symposium on Blockchain and Secure Critical Infrastructure, pages 34-43, Melbourne VIC Australia, 2023.
2022
[C94] T. Xie, H. Zhang. Y. Feng, J. Qi, C. Guo and K. Gai, "Cross-chain-based Distributed Digital Identity: A Survey", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.[C93] S. Wang, Z. Lei, Z. Wang, D. Wang, M. Wang, G. Yang, K. Gai, "Blockchain Applications in Smart City: A Survey", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.
[C92] H. Zhao, X. Li, K. Gai and M. Qiu, "A Dynamic Taint Analysis-based Smart Contract Testing Approach", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.
[C91] H. Zhao, J. Tan, K. Gai and M. Qiu, "A Critical-Path-Based Vulnerability Detection Method for tx.origin Dependency of Smart Contract", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.
[C90] Y. Zhang, K. Gai, L. Zhu and M. Qiu, "An Auxiliary Classifier GAN-based DDoS Defense Solution in Blockchain-based Software Defined Industrial Network", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.
[C89] H. Zhao, P. Su, K. Gai, and M. Qiu, "A Novel Machine Learning-Based Model for Reentrant Vulnerabilities Detection", The 7th International Conference on Smart Blockchain 2022, New York, USA, 2022.
[C88] G. Yang, Z. Shi, C. Chen, H. Xiong, H. Hu, Z. Wan, K. Gai, M. Qiu, "Work-in-Progress: Towards a Smaller than Grain Stream Cipher: Optimized FPGA Implementations of Fruit-80", 2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES), pages 19-20, IEEE, 2022.
[C87] S. Zhang, T. Xie, K. Gai, L. Xu, "ARC: An Asynchronous Consensus and Relay Chain-based Cross-chain Solution to Consortium Blockchain", IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud), pages 86-92, 2022.
[C86] Y. Yu, R. Jin, H. Yin, K. Gai, Z. Zhang, "A Searchable Re-encryption-based Scheme for Massive Data Transactions", IEEE 9th International Conference on Cyber Security and Cloud Computing (CSCloud), pages 135-140, 2022.
[C85] X. Yan, S. Wang, and K. Gai, "A Semantic Analysis-Based Method for Smart Contract Vulnerability", IEEE 8th Intl Conference on Big Data Security on Cloud (BigDataSecurity), pages 23-28, IEEE, 2022.
[C84] M. Wang, H. Zhang, H. Wu, G. Li, and K. Gai, "Blockchain-based Secure Medical Data Management and Disease Prediction", in the Fourth ACM International Symposium on Blockchain and Secure Critical Infrastructure, pages 71-82, ACM, Nagasaki, Japan, 2022.
2021
[C83] Y. Guo, H. Tang, A. Tan, L. Xu, K. Gai, and X. Jia, "A Privacy-Preserving Auditable Approach Using Threshold Tag-Based Encryption in Consortium Blockchain", in International Conference on Smart Computing and Communication, pages 265-275, Springer, New York, USA, 2021.[C82] K. Ren, P. Jiang, L. Zhu, and K. Gai, "SM9-based Anonymous Search over Encrypted Data", In 2021 IEEE 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pages 212-219, New York, USA, IEEE, 2021.
[C81] J Chen, K. Gai*, P Jiang, L Zhu. “Heuristic-based Blockchain Assignment: An Empirical Study”. In 2021 IEEE 19th IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA), pages 916-923, New York, USA, IEEE, 2021.
[C80] L Huang, L Xu, L Zhu, K. Gai. “A Blockchain-Assisted Privacy-Preserving Cloud Computing Method with Multiple Keys”. In 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud), pages 19-25, New York, USA, IEEE, 2021.
[C79] K Ren, P Jiang, K. Gai, L Zhu, J Huang. “SM9-based Traceable and Accountable Access Control for Secure Multi-user Cloud Storage”. In 2021 IEEE 6th International Conference on Smart Cloud (SmartCloud), pages 13-18, New York, USA, IEEE, 2021.
[C78] T Xie, Y Zhang, K. Gai*, L Xu. “Cross-Chain-Based Decentralized Identity for Mortgage Loans”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 619-633, New York, USA, Springer, 2021.
[C77] H Zhang, G Li, Y Zhang, K. Gai*, M Qiu. “Blockchain-Based Privacy-Preserving Medical Data Sharing Scheme Using Federated Learning”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 634-646, New York, USA, Springer, 2021.
[C76] Y Zhang, K. Gai*, Y Wei, L Zhu. “BS-KGS: Blockchain Sharding Empowered Knowledge Graph Storage”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 451-462, New York, USA, Springer, 2021. Best Student Paper Award.
[C75] H Zhao, P Su, Y Wei, K. Gai*, M Qiu. “GAN-Enabled Code Embedding for Reentrant Vulnerabilities Detection”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 585-597, New York, USA, Springer, 2021.
[C74] M Wang, G Li, Y Zhang, K. Gai*, M Qiu. “An Edge Trajectory Protection Approach Using Blockchain”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 647-658, New York, USA, Springer, 2021.
[C73] Y Li, H Yin, K. Gai*, L Zhu, Q Wang. “Blockchain-as-a-Service Powered Knowledge Graph Construction”. In International Conference on Knowledge Science, Engineering and Management (KSEM), pages 500-511, New York, USA, Springer, 2021.
2020
[C72] K. Gai, Z. Hu, L. Zhu, R. Wang, Z. Zhang. “Blockchain Meets DAG: A BlockDAG Consensus Mechanism”. In International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), pages 110-125, New York, USA, Springer, 2020. Best Paper Award.[C71] X. Du, S. Tang, Z. Lu, J. Wu, K. Gai*, P.C.K. Hung. “A Novel Data Placement Strategy for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments”. In IEEE International Conference on Web Services (ICWS), Beijing, China, IEEE, 2020.
[C70] Y. Zhang, K. Gai*, M. Qiu, K. Ding. “Understanding Privacy-Preserving Techniques in Digital Cryptocurrencies”. In International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), pages 3-18, New York, USA, Springer, 2020.
[C69] Z. Fang, K. Gai*, L. Zhu, L. Xu“LNBFSM: A Food Safety Management System Using Blockchain and Lightning Network”. In International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), pages 19-34, New York, USA, Springer, 2020.
[C68] H. Li, K. Gai*, L. Zhu, P. Jiang, M. Qiu. “Reputation-Based Trustworthy Supply Chain Management Using Smart Contract”. In International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), pages 35-49, New York, USA, Springer, 2020.
[C67] H. Yin, Y. Wei, Y. Li, L. Zhu, J. Shi, K. Gai. “Consensus in Lens of Consortium Blockchain: An Empirical Study”. In International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), pages 282-296, New York, USA, Springer, 2020.
[C66] X. Wu, H. Qiu, S. Zhang, G. Memmi, K. Gai, W. Cai. “ChainIDE 2.0: Facilitating Smart Contract Development for Consortium Blockchain”. In IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 388-393, Toronto, Canada, 2020.
[C65] K. Miao, O. Biermann, Z. Miao, S. Leung, J. Wang, K. Gai. “Integrated Parallel System for Audio Conferencing Voice Transcription and Speaker Identification”. In 2020 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), pages 1-8, Shenzhen, China, 2020.
2019
[C64] Y. Yan, K. Gai*, P Jiang, L Xu, L Zhu. “Location-based Privacy-preserving Techniques in Connected Environment: A Survey”. In 2019 IEEE International Conference on Smart Cloud (SmartCloud), pages 156-162, Tokyo, Japan, 2019.[C63] J. Guo, K. Gai*, L. Zhu and Z. Zhang. “An approach of secure two-way-pegged multi-sidechain”. In The 19th International Conference on Algorithms and Architectures for Parallel Processing, Sydney, Australia, 2019.
[C62] A. Odiljon, K. Gai*. “Efficiency issues and solutions in blockchain: A survey”. In The 2nd International Conference on Smart Blockchain, Birmingham, UK, 2019.
[C61] C. Wang, K. Gai*, J. Guo, L. Zhu, and Z. Zhang. “Content-centric Caching Using Deep Reinforcement Learning in Mobile Computing”. In International Conference on High Performance Big Data and Intelligent Systems, pages 1-6, Shenzhen, China, May 2019.
[C60] H. Li, K. Gai*, Z. Fang, L. Zhu, L. Xu, and P. Jiang. “Blockchain-enabled Data Provenance in Cloud Datacenter Reengineering”. In 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, Auckland, New Zealand, pages 47-55, ACM, 2019.
[C59] X Li, Z. Zhang, J. Liu, K. Gai, A New Complex Network Robustness Attack Algorithm, In 2019 ACM International Symposium on Blockchain and Secure Critical Infrastructure, Auckland, New Zealand, pages 13-17, ACM, 2019.
[C58] H. Zhao, X. Liu, W. Guo, K. Gai, Y Wang, An Improved Algorithm for Recruitment Text Categorization, Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health, pages 335-348, Beijing, China, 2019.
[C57] X. Yu, X. Li, J. Li, K. Gai, A Geographical Behavior-Based Point-of-Interest Recommendation, 2019 IEEE 5th International Conference on Big Data Security on Cloud (BigDataSecurity), pages 166-171, Baltimore, Maryland, USA, 2019.
[C56] L. Zhu, H. Dong, M. Shen, K. Gai, An Incentive Mechanism Using Shapley Value for Blockchain-based Medical Data Sharing, 2019 IEEE 5th International Conference on Big Data Security on Cloud (BigDataSecurity), pages 113-118, Baltimore, Maryland, USA, 2019.
2018
[C55] K. Gai, Y. Wu, L. Zhu, and M. Qiu. “Privacy-Preserving Data Synchronization Using Tensor-based Fully Homomorphic Encryption”. In The 17th IEEE International Conference on Trust, Security and Privacy In Computing And Communications (IEEE TrustCom-18), pages 1149-1156, New York, NY, USA, IEEE, August 2018. IEEE Best Paper Award.[C54] M. Qiu and K. Gai*. “Heterogeneous Assignment of Functional Units with Gaussian Execution Time on a Tree”. In The 20th IEEE International Conference on High Performance Computing and Communications (HPCC-2018), pages 22-29, Exeter, UK, IEEE, June 2018. IEEE Best Paper Award.
[C53] K. Gai, L. Zou, and L. Zhu. “Ontology-based Personalized Telehealth Scheme in Cloud Computing”. In The 25th International Conference on Web Services (ICWS 2018), pages 49-64, Seattle, WA, USA. Springer, June 2018.
[C52] K. Gai, X. Sun, and Y. Li. “An Approach of Fog Detecting Magnitude Using Referenceless Perceptual Image Defogging”. In The 5th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud), pages 58-63, Shanghai, China, IEEE, June 2018.
[C51] K. Gai, M. Qiu and M. Liu. “Privacy-Preserving Access Control Using Dynamic Programming in Fog Computing”. In The 4th IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2018), pages 126-132, Omaha, NE, USA, IEEE, 2018.
[C50] H. Guo, H. Zheng, K. Xu, X. Kong, J. Liu, F. Liu, K. Gai, “An Improved Consensus Mechanism for Blockchain”, International Conference on Smart Blockchain, pages 129-138, Tokyo, Japan, 2018.
[C49] J Wu, X Cui, W Hu, K. Gai, X Liu, K Zhang, K Xu, “A New Sustainable Interchain Design on Transport Layer for Blockchain”, International Conference on Smart Blockchain, pages 12-21, Tokyo, Japan, 2018.
2017
[C48] K. Gai, M. Qiu, M. Liu and H. Zhao. “Smart Resource Allocation Using Reinforcement Learning in Content-Centric Cyber-Physical Systems”, The 2nd International Conference on Smart Computing and Communication, Shenzhen, China, December, 2017.[C47] H. Zhao, M. Qiu, and K. Gai. “Empirical Study of Data Allocation in Heterogeneous Memory”, The 2nd International Conference on Smart Computing and Communication, Shenzhen, China, December, 2017.
[C46] K. Gai, M. Qiu, Y. Li, and X. Liu. “Advanced Fully Homomorphic Encryption Scheme Over Real Numbers”, The 4th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2017), pages 64–69, New York, USA, June, 2017.
[C45] S. Li, A. Leider, M. Qiu, K. Gai, and S. Zhang. “Brain-Based Computer Interfaces in Virtual Reality”, The 3rd IEEE International Conference of Scalable and Smart Cloud (SSC 2017), pages 300– 305, New York, USA, June, 2017.
[C44] Y. Li, K. Liang, X. Tang and K. Gai. “Waveband Selection based Feature Extraction using Genetic Algorithm”, The 4th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2017), pages 223–227, New York, USA, June, 2017.
[C43] K. Gai and M. Qiu. An Optimal Fully Homomorphic Encryption Scheme”, The 3rd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2017), pages 101–106, Beijing, May, 2017.
2016
[C42] K. Gai, M. Qiu, H. Zhao, L. Qiu. Smart Energy-Aware Data Allocation for Heterogeneous Memory. The 18th International Conference High Performance Computing and Communications (HPCC 2016), pages 136-143, Sydney, Australia, Dec. 2016. (IEEE Best Student Paper Award).[C41] K. Gai, M. Qiu, X. Sun and H. Zhao. Security and Privacy Issues: A Survey on FinTech. Accepted by International Conference on Smart Computing and Communication (SmartCom 2016), 8 pages 246-247, Shenzhen, China, Dec. 2016.
[C40] H. Zhao, M. Qiu, K. Gai, J. Li and X. He. Cost Reduction for Data Allocation in Heterogenous Cloud Computing Using Dynamic Programming. In the Proceedings of The International Conference on Smart Computing and Communication (SmartCom 2016), pages 1-11, Shenzhen, China, Dec. 2016.
[C39] K. Gai, M. Qiu, H. Zhao, and W. Dai. Privacy-Preserving Adaptive Multi-Channel Communications Under Timing Constraints. In the Proceedings of The IEEE International Conference on Smart Cloud (SmartCloud 2016), pages 190-195, New York, USA, Nov. 2016.
[C38] L. Qiu, K. Gai, and M. Qiu. Optimal big data sharing approach for telehealth in cloud computing. In the Proceedings of The IEEE International Conference on Smart Cloud (SmartCloud 2016), pages 184-189, New York, USA, Nov. 2016. (IEEE Best Student Paper Award, acceptance rate: 24.74%)
[C37] K. Gai, M. Qiu, H. Zhao, and M. Liu. Energy-aware optimal task assignment for mobile heterogeneous embedded systems in cloud computing. In The 3rd IEEE International Conference on Cyber Security and Cloud Computing (CSCloud 2016), pages 198-203, Beijing, China, June 2016.
[C36] K. Gai, M. Qiu, H. Zhao, and J. Xiong. Privacy-aware adaptive data encryption strategy of big data in cloud computing. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 273-278, Beijing, China, June 2016. (IEEE Best Paper Award, acceptance rate: 21.4%)
[C35] K. Gai, M. Qiu and H. Zhao. Security-aware efficient mass distributed storage approach for cloud systems in big data. In The 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016), pages 140-145, New York, NY, USA, April 2016.
[C34] R. J. DeStefano, L. Tao, and K. Gai. Improving data governance in large organizations through ontology and linked data. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 279-284, Beijing, China, June 2016.
[C33] G. Alipui, L. Tao, K. Gai, and N. Jiang. Reducing complexity of diagnostic message pattern specification and recognition on in-bound data using semantic techniques. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 267-272, Beijing, China, June 2016.
[C32] M. Sette, L. Tao, K. Gai, and N. Jiang. A semantic approach to intelligent and personal tutoring system. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 261-266, Beijing, China, June 2016.
[C31] S. Jayaraman, L. Tao, K. Gai, and N. Jiang. Drug side effects data representation and full spectrum inferencing using knowledge graphs in intelligent Telehealth. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 289-294, Beijing, China, June 2016.
[C30] S. Slnagdy, M. Qiu, and K. Gai. Understanding the taxonomy of cyber security risks for cybersecurity insurance of financial industry in cloud computing. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 295-300, Beijing, China, June 2016.
[C29] S. Slnagdy, M. Qiu, and K. Gai. Risk classifications using ontology-based knowledge representation for cybersecurity insurance in financial industry. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 301-306, Beijing, China, June 2016.
[C28] C. Asamoah, L. Tao, K. Gai, and N. Jiang. Powering filtration process of cyber security ecosystem using knowledge graph. In The 2nd IEEE International Conference of Scalable and Smart Cloud (SSC 2016), pages 240-246, Beijing, China, June 2016.
[C27] K. Gai, M. Qiu, and Sam Adam Elnagdy. Security-aware information classifications using supervised learning for cloud-based cyber risk management in big data. In The 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016), pages 197-202, New York, NY, USA, April 2016.
[C26] K. Gai, M. Qiu, and Sam Adam Elnagdy. A novel secure big data cyber incident analytics framework for cloud-based cybersecurity insurance. In The 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016), pages 171-176, New York, NY, USA, April 2016.
[C25] K. Thakur, M. Ali, M. Qiu, and K. Gai. Information security policy for e-commerce in Saudi Arabia. In The 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016), pages 187-190, New York, NY, USA, April 2016.
[C24] H. Yin, K. Gai, and Zhijian Wang. A classification algorithm using ensemble feature selections for imbalanced-class dataset. In The 2nd IEEE International Conference on High Performance and Smart Computing (HPSC 2016), pages 245-249, New York, NY, USA, April 2016.
[C23] L. Ma, L. Tao, Y. Zhong, and K. Gai. Research and application of social network access control model RuleSN. In IEEE International Conference on Intelligent Data and Security (IDS 2016), pages 418-423, New York, NY, USA, April 2016.
2015
[C22] K. Gai, Z. Du, M. Qiu and H. Zhao. Efficiency-aware workload optimizations of heterogenous cloud computing for capacity planning in financial industry. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 1-6, New York, NY, USA, November 2015. (IEEE Best Paper Award, Acceptance rate: 22%)[C21] K. Gai, M. Qiu, B. Thuraisingham, and L. Tao. Proactive attribute-based secure data schema for mobile cloud in financial industry. In The IEEE International Symposium on Big Data Security on Cloud, pages 1332–1337, New York, USA, 2015. (IEEE Best Paper Award)
[C20] K. Gai, M. Qiu, H. Zhao and W. Dai. Anti-counterfeit schema using Monte Carlo simulation for E-commerce in cloud systems. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 74-79, New York, NY, USA, November 2015.
[C19] K. Gai, M. Qiu, L. Chen, and M. Liu. Electronic health record error prevention approach using ontology in big data. In 17th IEEE International Conference on High Performance Computing and Communications, pages 752–757, New York, USA, 2015.
[C18] K. Gai, M. Qiu, S. Jayaraman and L. Tao. Ontology-based knowledge representation for secure self-diagnosis in patient-centered telehealth with cloud systems. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 98-103, New York, NY, USA, November 2015.
[C17] H. Yin and K. Gai. An empirical study on preprocessing high-dimensional class-imbalanced data for classification. In The IEEE International Symposium on Big Data Security on Cloud, pages 1314–1319, New York, USA, 2015.
[C16] L. Chen, Y. Duan, M. Qiu, J. Xiong and K. Gai. Adaptive resource allocation optimization in heterogeneous mobile cloud systems. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 19-24, New York, NY, USA, November 2015.
[C15] L. Tao, S. Golikov, K. Gai, and M. Qiu. A reusable software component for integrated syntax and semantic validation for services computing. In 9th International IEEE Symposium on Service-Oriented System Engineering, pages 127–132, San Francisco Bay, USA, 2015.
[C14] H. Liang and K. Gai. Internet-Based anti-counterfeiting pattern with using big data in china. In The IEEE International Symposium on Big Data Security on Cloud, pages 1387–1392, New York, USA, 2015.
[C13] H. Zhao, M. Qiu, K. Gai, J. Li and X. He. Maintainable mobile model using pre-cache technology for high performance Android system. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 175-180, New York, NY, USA, November 2015.
[C12] X. Yu, T. Pei, K. Gai, and L. Guo. Analysis on urban collective call behavior to earthquake. In The IEEE International Symposium on Big Data Security on Cloud, pages 1302–1307, New York, USA, 2015.
[C11] H. Zhao, K. Gai, J. Li, and X. He. Novel differential schema for high performance big data telehealth systems using pre-cache. In The IEEE International Symposium on Big Data Security on Cloud, pages 1412–1417, New York, USA, 2015.
[C10] X. He, C. Wang, T. Liu, K. Gai, D. Chen, and L. Bai. Research on campus mobile model based on periodic purpose for opportunistic network. In The IEEE 17th International Conference on High Performance Computing and Communications, pages 782–785, New York, USA, 2015.
[C9] H. Jean-Baptiste, L. Tao, M. Qiu and K. Gai. Understanding model risk management - model rationalization in financial industry. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 301-306, New York, NY, USA, November 2015.
[C8] K. Thakur, M. Qiu, K. Gai and Md Ali. An investigation on cyber security threats and security models. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 307-311, New York, NY, USA, November 2015.
[C7] H. Jean-Baptiste, L. Tao, M. Qiu and K. Gai. Model risk management systems - back-end, middleware, front-end and analytics. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 312-316, New York, NY, USA, November 2015.
[C6] H. Jean-Baptiste, M. Qiu, K. Gai and L. Tao. Meta meta-analytics for risk forecast using big data meta-regression accepted by financial industry. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 272-277, New York, NY, USA, November 2015.
[C5] A. Butowsky, K. Gai, M. Coakley, M. Qiu and C. Tappert. City of White Plains parking app: case study of a smart city Web application. In The 2nd IEEE International Conference on Cyber Security and Cloud Computing, pages 278-281, New York, NY, USA, November 2015.