Although not yet nearly as widespread as the Windows platform, Mac OS X-based machines are quickly gaining market share, and are now commonly seen in real-world investigations. While some research exists for analysis on this platform, almost none exists for deep parsing of the Spotlight index, which is used by...
Dalvik is the process Virtual Machine used by Android that powers all non-native applications used on Android devices. Through Dalvik memory analysis, a wealth of insight can be gained into the workings of a running application, including all instantiated objects (classes) and the variables, methods, and other per-instance class information....
Full Text Android Memory Capture and Applications for Security and Privacy, University of New Orleans 2011 Abstract The Android operating system is quickly becoming the most popular platform for mobile devices. As Android’s use increases, so does the need for both forensic and privacy tools designed for the platform. This...
Full Text Acquisition and Analysis of Volatile Memory from Android Devices, Digital Investigation Journal, 2012 Abstract The Android operating system for mobile phones, which is still relatively new, is rapidly gaining market share, with dozens of smartphones and tablets either released or set to be released. In this paper, we...
Full Text Advanced Techniques for Improving the Efficacy of Digital Forensics Investigations, University of New Orleans 2009 Abstract Digital forensics is the science concerned with discovering, preserving, and analyzing evidence on digital devices. The intent is to be able to determine what events have taken place, when they occurred, who...
Full Text MMR: A Platform for Large-Scale Forensic Computing, IFIP 2009 Abstract The timely processing of large-scale digital forensic targets demands the empoyment of large-scale distributed resources, as well as the flexibility to customize the processing performed on the target. We presentMMR– a new, open implementation of the MapReduce processing...
Full Text Dynamic Recreation of Kernel Data Structures for Live Forensics, DFRWS 2010 Abstract The role of live forensics in digital forensic investigations has become vital due to the importance of volatile data such as encryption keys, network activity, currently running processes, in memory only malware, and other key pieces...
Full Text Treasure and Tragedy in kmem_cache Mining for Live Forensics Investigation, DFRWS 2010 Abstract This paper presents the first deep investigation of the kmem_cache facility in Linux from a forensics perspective. The kmem_cache is used by the Linux kernel to quickly allocate and deallocate kernel structures associated with processes,...
Full Text FACE: Automated Digital Evidence Discovery and Correlation, DFRWS 2008 Abstract Digital forensic tools are being developed at a brisk pace in response to the ever increasing variety of forensic targets. Most tools are created for specific tasks–file system analysis, memory analysis, network analysis, etc.–and make little effort to...
Full Text Hash-based Classification of Data: Class-based Similarity Hashing, IFIP 2008 Abstract In this paper, we introduce the notion of class-aware similarity hashes, or classprints which is an outgrowth of recent work on similarity hashing. Specifically, we build on the notion of context-based hashing to design a framework both for...