The ATMC Cyber Defence Lab is a cyber security, audit, advisory, and research initiative designed to promote cyber protection through education. The Lab provides hands-on training in tools for ethical hacking and penetration testing.
The Lab is also available to assist corporates and small-to-medium scale businesses and community organisations with cyber defence support as well as educate and improve corporate and community awareness of the role and value of cyber defence.
AI-based malware analysis and synthetic malware repository
A signature-based malware analysis is a common approach for identifying and detecting malware through signature database. However, with a slight modification in a signature, new malware is created from time to time. Moreover, signature-based approaches expect the presence of the entire signature and all possible combinations. The recent success of feature extraction-based approaches enabled to investigate similar possibilities for extracting unique features from malware signature data that could be used for detection of malware.
This research involves optimizing feature extraction approaches using AI and Datamining techniques for malware analysis. The proposed research would enable to present a repository of known and unknown malware (synthetic) signatures which could be utilised for testing the security aspects of government and private organisations. This could help to assess the ability of anti-malware systems that are in place currently. This will also help provides a benchmark dataset for future implementation.
The research would further enable to introduce artificial intelligence approaches for the detection and optimisation of anti-malware systems. The standards of existing and future anti-malware systems can also be assessed through the proposed research.