Special Session on

“Evolutionary and Neural Network Approaches for Cybersecurity”

The 2021 IEEE Congress on Evolutionary Computation (IEEE CEC 2021)

June 28 - July 01, 2021, Kraków, Poland


Mukesh Prasad, Manoranjan Mohanty, Anca Ralescu ,Tony Jan

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

Important Dates:

Paper submission due: Feb. 21, 2021

Notification of acceptance: Apr. 06, 2021

Camera-ready deadline: April 23, 2021

Author registration deadline: April 23, 2021

Conference date: June 28 - July 01, 2021

Paper Submission: https://cec2021.mini.pw.edu.pl/en

Information about IEEE CEC 2021: https://cec2021.mini.pw.edu.pl/en

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