AGIS: Towards Automatic Generation of Infection Signatures
Source: Indiana University
An important yet largely uncharted problem in malware defense is how to automate generation of infection signatures for detecting compromised systems, i.e., signatures that characterize the behavior of malware residing on a system. To this end, the authors develop AGIS, the first host-based technique that detects infections by novel malware and automatically generates an infection signature of the malware. AGIS monitors the run-time behavior of suspicious code according to a set of security policies to detect a previously undetected infection, and then identifies its characteristic behavior in terms of system or API calls.