Since the development of Cloud Computing technology has deeply changed not only the development of computer science, but also influenced the way people live. With Cloud-based technology, various kinds of mobile applications to big data based services are provided to accelerate the data oriented services. Today, one of the most promising trends is the Cloud-based solutions for small enterprises to deploy their business on Cloud servers. However, privacy and security issues along with the widely developed Cloud-based services are always becoming an obstacle for the usage of the Cloud services. Also, the Artificial Intelligence (AI) based technologies such as Deep Learning (DL) have brought new challenges to the traditional security and privacy issues on Cloud Computing. IEEE CSCloud 2026 focuses on these two aspects and aims to gather recent achievements in cyber security and cloud computing fields.
The conference invites those papers that concentrate on new paradigms, algorithms, and applications in cyber security or cloud computing. We also encourage researchers and practitioners to build up the connections between academia and industry. We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event. The conference invites those papers that concentrate on new paradigms, algorithms, and applications in cyber security or cloud computing. We also encourage researchers and practitioners to build up the connections between academia and industry. We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event.
Topics of particular interest include, but are not limited to:
Please refer to the paper submission page for more information.
The track of Multimedia and Data Content Security aims to bring together researchers and practitioners working on the foundations, technologies, and system-level innovations that protect digital multimedia content and sensitive data in an increasingly interconnected world. As multimedia data—including images, videos, audio, 3D content, and streaming media—continues to explode in volume and importance across social platforms, entertainment, healthcare, and critical infrastructure, there is an urgent need for robust, scalable, and intelligent security mechanisms to safeguard authenticity, integrity, confidentiality, and ownership. This track focuses on the design, implementation, and optimization of security solutions spanning watermarking, steganography, encryption, deepfake detection, forensic analysis, content security, event detection, access control, and privacy-preserving technologies for multimedia and structured/unstructured data. We welcome research that addresses essential challenges such as adversarial attacks on media, large-scale content authentication, secure sharing in distributed environments, compliance with regulations like GDPR and emerging AI-related laws, and resilience against evolving threats. We are particularly interested in research work that bridges multimedia processing, multimedia content security, machine learning, and systems design, enabling co-optimization across algorithms, hardware acceleration, and real-world deployment scenarios. Our motivation is to foster cross-disciplinary dialogue between security experts, multimedia researchers, AI practitioners, and industry engineers to advance next-generation protection technologies that ensure multimedia and data content remains secure, trustworthy, and verifiable in the age of generative AI and ubiquitous digital media.
Our track seeks original contributions in the following topical areas:
Each submission should include the authors' names, affiliations, an abstract, and 5–10 keywords. Papers are limited to 8 pages, including figures and references. Up to two additional pages may be included with an overlength charge. Full instructions are available at: https://easychair.org/conferences/?conf=ieeecscloud2026