With the rapid development of computing and communication technologies, many applications has facilitated a dramatical growth of new techniques’ implementations, such as Artificial Intelligence, cloud computing, big data, pervasive computing, Internet of Things, and smart city systems systems. Enabling a smart life has become a popular research topic with an urgent demand. Therefore, the 5th International Conference on Smart Computing and Communication (SmartCom 2020) will focus on both smart computing and communications fields and aims to collect recent academic work to improve the research and practical applications.
The scope of SmartCom 2020 covers a broad extent, from Artificial Intelligence to smart communications, from smart computing to smart city. The conference is gathering all high-quality research/industrial papers related to smart computing and communications and targets at proposing a reference guideline for further research. SmartCom 2020 will be held in Paris, France and its conference proceedings publisher is Springer.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.
Topics of particular interest include, but are not limited to:
- Artificial Intelligence enhanced smart computing
- Smart computing in smart city
- Big data security, Database security
- MapReduce in intelligent data
- Visualization in intelligent data
- Cloud-based real-time multimedia techniques in intelligent data
- Big data analytics and applications in mobile cloud computing
- Green cloud computing and big data
- Quality of Service (QoS) improvements techniques
- Case studies for various applications in big data
- Cyber hacking, next generation fire wall of smart data
- Cyber monitoring and incident response in smart data
- Digital forensics in intelligent data
- Intelligent database and business improvement in big data
- Intelligent data mining and optimizations in big data
- Social engineering, insider threats, advance spear phishing
- Cyber threat intelligence in big data
- Security and fault tolerance for embedded or ubiquitous systems
- Cloud-based intelligent data and security issues
- Tele-health security in intelligent data
- Sensor network security in big data
- Embedded networks and sensor network optimizations
- Cloud computing and networking models
- Heterogeneous architecture for cloud-based intelligent data
- Dynamic resource sharing algorithm for cloud-based intelligent data
- Load balance for cloud-based intelligent data
- Cloud-based audio/video streaming techniques
- Cyber Security in emergent technologies, infrastructures and applications
