Considering how strongly many of the abovementioned systems are interconnected, that they can take autonomous decisions, and the implied efficiency and speed of attacks, it is clear we need a next generation of attack response that must be autonomous and spontaneous as well. This research area explores the secure and dependable design and implementation of exactly such mobile and autonomous systems in security-critical domains. It strives to eventually span the entire range from the exploration of fundamental algorithmic issues to actual systems-building, and it particularly emphasizes the intersection of both research approaches. In the last years, topics of particular importance within this research area were: Android security in various facets, ranging from the in-depth analysis and testing of Android applications and the Android middleware, to Android security extensions, usability studies and solutions to the problems identified therein. Additionally, the use of machine learning techniques in various security-relevant domains has been under investigation, in particular contributing to the novel area of adversarial machine learning in order to account for manipulated data that is input to autonomous systems.
Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS)Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS)
USENIX Security '21USENIX Security '21
30th USENIX Security Symposium30th USENIX Security Symposium (USENIX Security 21)