Publication: Accepted papers will be published in the ARES conference proceedings, edited by ACM.
Behavioral features are getting in the last years an increasing attention from both IT research and industrial world. Human behavioral aspects are extremely valuable pieces of information, exploited by companies to profile current or potential customers, in order to anticipate their preferences and present custom offers. Runtime behavioral analysis is being applied with increasing success for continuous and silent user authentication, and is considered an enabler for the seamless authentication paradigm in several environments and devices. Furthermore, behavioral analysis is posing itself as a valuable alternative to signature-based approaches to identify anomalies, intrusions, security attacks and system malfunctioning. These approaches are in fact known to be flexible, self-learning and able to consider multi-level and multi-domain features, related to software execution, system status, user interaction and current context.
BASS aims at attracting innovative contributions from both industry and academia related to all aspects of human, system or software behavioral analysis for IT security. The workshop solicits submission on both theoretical aspects and practical applications of behavior analysis, behavior-based identification and authentication, profiling and privacy and security aspects related to recording and exploitation of behavioral features.