Special Session on

“Evolutionary and Neural Network Approaches for Cybersecurity”


Mukesh Prasad, Manoranjan Mohanty, Anca Ralescu, Tony Jan, Ekarat Rattagan, Niraj Kumar

Aims and Scope:

With rapidly increase in cybercrime, cybersecurity has emerged as one of the most pressing issues in our modern computer-based society. Rapid detection and disabling of cybercrime attacks is an active area of research, where neural network approaches have proved to be successful. For example, conventional neural network-based solutions have been proposed to detect image tampering, source camera attribution of an anonymous crime image, explicit content detection, virus detection, etc. Recently, researchers are focusing more on unsupervised solutions. New types of cybercrimes are also emerging (e.g., deepfake video) which may, in turn, require new approaches. With respect to this, research on evolutionary computing has found an important role in tackling cybercrime.

This special session aims to bring together researchers from both academia and industry in the application of evolutionary computation and neural networks for combating cybercrime. Contributions are also welcome on research which focuses on the risk of a neural network for spreading new kind of cybercrimes and evolutionary computing for creating new types of malware (e.g., polymorphic and metamorphic viruses). The session should be of interest to researchers working in cybersecurity, evolutionary computation, and neural networks, with emphasis on research that combines evolutionary computing with neural network approaches.


The main topics of this special session include, but are not limited to, the following:

· Malware detection using neural networks and evolutionary computation

· Internet fraud detection and prediction using neural networks and evolutionary computation

· Intrusion detection using neural networks and evolutionary computation

· Digital rights management using neural networks and evolutionary computation

· Explicit content filtering using neural networks and evolutionary computation

· Application of convolutional neural networks for multimedia security

· Image and video forensics using convolutional neural networks

· Cybercrime risk due to neural networks (e.g., deepfake)

· Digital forensics for detecting neural network-based fraud

Special Session organizers:

Dr. Mukesh Prasad (mukesh.prasad@uts.edu.au)

University Technology of Sydney, Australia

Dr. Manoranjan Mohanty (manoranjan.mohanty@uts.edu.au)

University Technology of Sydney, Australia

Prof. Anca Ralescu (ancaralescu@gmail.com)

University of Cincinnati, USA

A/Prof. Tony Jan (tjan@mit.edu.au)

Melbourne Institute of Technology, Australia

Dr. Ekarat Rattagan (ekarat@mutacth.com)

Mahanakorn University of Technology, Thailand

Prof. Niraj Kumar (neeraj.kumar@thapar.edu)

Thapar institute of Engineering and Technology, India

Important Dates:

Paper submission due: 15th Jan. 2020

Notification of acceptance: 15th Mar. 2020

Camera-ready deadline: 15th Apr. 2020

Author registration deadline: 15th Apr. 2020

Information about IEEE WCCI 2020: https://wcci2020.org/

We look forward to receiving your high-quality submissions!!