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. This session also will welcome research which focuses on the risk of a neural network for spreading new kind of cybercrimes (e.g., deepfake videos) and evolutionary computing for creating new types of malware (e.g., polymorphic and metamorphic viruses). The session will attract researchers working in cybersecurity, evolutionary computation, and neural networks. Of particular interest will be 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
The papers should be submitted through IEEE CEC’s submission central. After logging into the submission system, you need to choose Special Session on “Evolutionary Computation and Neural Network for Combating Cybercrime ”.
- Paper submission due: Jan. 7, 2019
- Notification of acceptance: Mar. 7, 2019
- Author registration deadline: Mar. 31, 2019
- Camera-ready deadline: Mar. 31, 2019
Information about IEEE CEC 2019: http://cec2019.org/#
Special Session Organizers:
Dr. Manoranjan Mohanty, University of Auckland, New Zealand
Prof. Ajit Narayanan, Auckland University of Technology, New Zealand
Dr. Mukesh Prasad, University of Technology Sydney, Australia
Contact (Regarding this Special Session):
Email: [first letter of first name] . [last name] @auckland.ac.nz
We look forward to receiving your high quality submissions!