Discovering Semantic Data of Interest from Un-mappable Memory with Confidence
Download: Paper (PDF)
Date: 7 Feb 2012
Document Type: Briefing Papers
Additional Documents: Slides
Associated Event: NDSS Symposium 2012
Memory pages belonging to a terminated process may remain in a system for non-trivial period of time. Discovering semantic information from those memory pages is useful in cyber-forensics. We present a technique called DIMSUM for recognizing data structure instances — without memory mapping information. Via probabilistic inference, DIMSUM is able to identify semantic data of interest with quantifiable confidence.