Inside Microsoft Windows 2000
Forensic Discovery
Understanding data lifetime via whole system simulation
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Acquiring volatile operating system data tools and techniques
ACM SIGOPS Operating Systems Review
Forensic Extraction of EFS-Encrypted Files in Live System Investigation
Journal of Digital Forensic Practice
The impact of Microsoft Windows pool allocation strategies on memory forensics
Digital Investigation: The International Journal of Digital Forensics & Incident Response
FACE: Automated digital evidence discovery and correlation
Digital Investigation: The International Journal of Digital Forensics & Incident Response
A survey of main memory acquisition and analysis techniques for the windows operating system
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Treasure and tragedy in kmem_cache mining for live forensics investigation
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Extracting Windows command line details from physical memory
Digital Investigation: The International Journal of Digital Forensics & Incident Response
The persistence of memory: Forensic identification and extraction of cryptographic keys
Digital Investigation: The International Journal of Digital Forensics & Incident Response
The impact of the antivirus on the digital evidence
International Journal of Electronic Security and Digital Forensics
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In this paper we present the results of experiments we conducted on Suse Linux and Windows XP systems to determine the age of user process data in physical memory. To be able to measure the age of pages we used an artificial load program which time-stamps data segment and block device cache pages. Our goal was to compare the behaviour of both systems and to determine whether the rate of decay for user data depends on the demand for physical memory. Our findings show that Windows and Linux systems preserve almost the same number of pages with user data, and the age distribution of these pages does not change significantly with the level of demand.