2019 IEEE Symposium Series on Computational Intelligence


IEEE Symposium Series on Computational Intelligence

December 6-9, 2019 Xiamen, China

 

IEEE Symposium on Computational Intelligence in Cyber Security (IEEE CICS)

Computational Intelligence constitutes an umbrella of techniques, has proven to be flexible in solving dynamic and complex real-world problems. These techniques typically include Machine Learning, Fuzzy Logic, Evolutionary Computation, Intelligent Agent Systems, Neural Networks, Cellular Automata, Artificial Immune Systems, Game Theory and other similar computational models. These techniques are widely used in different cyber security applications such as online behavior monitoring, e-fraud detection, robust decision support modules to enhance the protection of computing devices and information infrastructure at different levels.
Cyber defense is a continuously changing attack landscape as the software/hardware components are added and/or updated more frequently at different layers of cyber systems for additional functionalities and/or improved usability while these may not be security-enabled. Attackers exploit these vulnerabilities and find attack paths to compromise the target systems. The multi-faceted Computational Intelligent (CI) techniques appear to provide an efficient security paradigm to deal with influx of new threats in next generation high-performance network infrastructures and large-scale smart applications. These approaches can also be used to augment defense-in-depth architectures and to add necessary security enhancements to the design, implementation and operation of legacy and future cyber-enabled systems.

Topics

The symposium will cover all the issues, research and development of the state-of-the-art CI-based technologies in solving various computer and information security problems. CI application areas include, but are not limited to:

  • Intrusion/malware detection, prediction, classification, and response
  • Models for survivable, resilient, and self-healing systems
  • Sensor network security, web security, wireless and 4G, 5G media security
  • Digital forensics, security information visualization
  • New sensor fusion and decision support for mobile device security
  • Self-awareness, auto-defensiveness, self-reconfiguration, and self-healing networking paradigm
  • Modeling adversarial behavior for insider and outsider threat detection
  • Cloud and virtualization security
  • Internet of Things (IoT) and end-point device security
  • Identity science, authentication, and access control
  • Social network security and privacy
  • Electronic healthcare security, privacy, and compliance
  • Big-Data and application security
  • Block-chain security

Symposium Chairs

Dipankar Dasgupta

University of Memphis, USA.

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Wonjun Lee

University of Texas at San Antonio, USA.

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Publicity Chair

Wei Wang

University of Texas at San Antonio, USA.

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Program Committee

Amanda Fernandez University of Texas at San Antonio, USA [email protected]
Arash Habibi Lashkari University of New Brunswick, Canada [email protected]
Chao Shen Xian Jiaotong University, China [email protected]
Jaewoo Lee University of Georgia, USA [email protected]
Jason Laska Oak Ridge National Lab, USA [email protected]
Jihoon Cho Samsung SDS, South Korea [email protected]
Kaushik Roy North Carolina A&T State University, USA [email protected]
Murtuza Jadliwala University of Texas at San Antonio, USA [email protected]
Nitin Naik Ministry of Defence, UK [email protected]
Rajkumar Buyya University of Melbourne, Australia [email protected]
Sathish A.P. Kumar Coastal Carolina University, USA [email protected]  
Sunoh Choi Honam University, South Korea [email protected]
Catherine Huang McAfee, USA [email protected]