The cyber-world can be a dark and dangerous place, full of silent yet raging malware, exfiltration, DDoS and botnet battles. Join this exciting project and learn how to ‘use the force’ against real-world cyber-attacks.
VIP Snapshot
VIP ChallENG research goals
Exploring the anatomy of cyber-attacks, we are collecting data on the various types of attack patterns. Analysing this data to identify the key attributes, we are developing machines that are trained to detect multiple types of cyber-attacks. Upon detection, we are developing methods to deflect or block such attacks.
The research includes:
- Understanding the anatomy and principles of cyber-attacks
- Developing models of network traffic behaviour
- Extracting network traffic attributes at high rates
- Data-driven machine learning model development for traffic anomaly detection
- Techniques to redirect or block cyber-attacks
- Visualisation and inferencing of traffic patterns
Research Areas:
- Computer Networks
- Communication Protocols
- Data Analytics
- Machine Learning
- Data Visualisation
- Cybersecurity
- Forensics
- Human Psychology
- Computer Science
- Electrical Engineering
- Telecommunications
- Data Analytics
- Machine Learning
- Statistics
- Software Engineering
- User Interface Design
Team Academic Leads
