A Multi-Layered Approach to Detecting Malicious Mobile Advertising
Federation University and La Trobe University
A mobile app to detect and block malicious advertising in mobile browsers by:
- Developing a sandboxed environment for contained execution, observation and control
- Enabling traffic analysis of sandboxed environment for anomaly detection and behavioural classification
- Establishing a signature database of identified threats for rapid identification and response
- Providing threat intelligence to authorities and institutions for response
The project will develop sandbox and classifier technology for identifying malicious mobile advertising, enabling licensing to existing anti-virus companies to broaden their ability to detect and respond to mobile cyber threats.