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.


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
The University of Memphis, USA
Kaushik Roy
North Carolina A&T, USA

Programme Committee

Gerry Dozier, Auburn University 

Marcellus Smith, Auburn University 

Brandon Brown, Auburn University 

Alex Popa, University of Bucharest  

Madhuri Siddula, North Carolina A&T State University 

Sajad Khorsandroo, North Carolina A&T State University 

Zhipeng Liu, North Carolina A&T State University 

Mustafa Atay, Winston Salem State University 

Kashinath Basu, Oxford Brookes University 

Rushit Dave, University of Wisconsin-Eau 

Claire Naik, Nitin, Aston University 

Jacek Rak, Gdansk University of Technology, Gdansk

Shamik Sural, Indian Institute of Technology, Kharagpur, India

Manoranjan Satpathy, Indian Institute of Technology, Bhubanaswar, India

Eman El-Sheikh, University of West Florida, USA

Md. Hasan Ali, The University of Memphis, USA

Harkeerat Bedi, Verizon, Inc.

Mustafa Hajeer, Intel Corporation

Abhijit Nag, Texas A&M University-Central Texas, USA

Subash Poudyal, The University of Memphis, USA

Fedrick Sheldon, University of Idaho, USA

Arunava Roy, Monash University 


Kishor Dattagupta, North Carolina A&T State University 

Ankur Chattopadhyay, Northern Kentucky University

Kshirasagar Naik, University of Waterloo

Habtamu Abie, Norwegian Computing Center, Norway 

Audun Josang, University of Oslo, Norway

Neeraj Kumar, Thapar Institute of Engineering and Technology, India