CSIT has developed an Android malware detection strategy based on automated static analysis of Android application packages. The strategy combines lightweight analysis of permissions information held in the manifest file along with detailed analysis of the application’s use of critical APIs and system services. The resulting classifier is over 92% accurate in identifying Android malware.

This webinar took place on 23trd July 2013 and featured Gavin McWilliams (Senior Engineering Manager) and Philip Mills (Business Development Manager) introducing CSIT's research and capabilities in relation to Android Malware Detection technology.

If you are interested in licencing CST's Android Malware Detection technology or commisioning contract R&D in this area please contact our Philip Mills or other members of our commercial team.

The slide deck used in this presentatation is available to download here:

CSIT Android Malware Slide Deck