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.

Download POC Presentation
Detecting Malicious Mobile Advertising Presentation