Recent rapid development of the intelligent data has enabled a dramatic influence of using big data in various domains, such as smart city and smart cloud. The concept of the intelligent data has been remarkably paid attentions by both academia and industries. The approach of gaining intelligent meta data processing is still at the exploring stage and the research concentrations are varied, such as intelligent data modeling, energy-aware meta data processing, and intelligent data mining. Moreover, the security issue is a critical concern of applying intelligent data from both data protection and data correction perspectives. Gathering contemporary research achievements in the field is greatly significant for the research.

We aim to collect the latest achievements and exchange research ideas in the domains of intelligent data and security at this academic event. Joining IDS 2016 will be a great opportunity for your to reach academics, professionals, and vendors who have the same research interests as yours. IEEE IDS 2016 will be held at Shenzhen University.

The objective of IEEE IDS 2016 is to provide a forum for 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
Intelligent data mining
Social engineering, insider threats, advance spear phishing
Cyber threat intelligence
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
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 in intelligent data
Visualization in intelligent data
Cloud-based real-time multimedia techniques in intelligent data
Mobile cloud computing
Green cloud computing
Quality of Service (QoS) improvements techniques
Case studies for various applications
Cyber Security in emergent technologies, infrastructures and applications