The objective of IEEE IDS 2017 is to provide a forum for educators, scientists, engineers, and researchers to discuss and exchange their new ideas, novel results, work in progress and experience on all aspects of smart computing and cloud computing.

Topics of particular interest include, but are not limited to:

Security in new paradigms of intelligent data
Cyber hacking, next generation fire wall of intelligent data
Cyber monitoring and incident response in intelligent data
Digital forensics in intelligent data
Big data security, Database security
Intelligent database and security
Intelligent data mining in security, optimization, and cloud computing
Social engineering, insider threats, advance spear phishing
Cyber threat intelligence and implementations
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 and solutions
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
MapReduce techniques in intelligent data
Visualization and optimization in intelligent data
Cloud-based real-time multimedia techniques in intelligent data
Mobile cloud computing and advanced applications
Green cloud computing model, implementation, and framework
Quality of Service (QoS) improvements techniques
Case studies for various applications
Cyber Security in emergent technologies, infrastructures and applications