%0 Conference Proceedings
%T Identifying Volatile Data from Multiple Memory Dumps in Live Forensics
%+ The University of Hong Kong (HKU)
%+ National Tsing Hua University [Hsinchu] (NTHU)
%A Law, Frank
%A Chan, Patrick
%A Yiu, Siu-Ming
%A Tang, Benjamin
%A Lai, Pierre
%A Chow, Kam-Pui
%A Ieong, Ricci
%A Kwan, Michael
%A Hon, Wing-Kai
%A Hui, Lucas
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 6th IFIP WG 11.9 International Conference on Digital Forensics (DF)
%C Hong Kong, China
%Y Kam-Pui Chow; Sujeet Shenoi
%I Springer
%3 Advances in Digital Forensics VI
%V AICT-337
%P 185-194
%8 2010-01-04
%D 2010
%R 10.1007/978-3-642-15506-2_13
%K Live forensics
%K volatile data
%K memory analysis
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X One of the core components of live forensics is to collect and analyze volatile memory data. Since the dynamic analysis of memory is not possible, most live forensic approaches focus on analyzing a single snapshot of a memory dump. Analyzing a single memory dump raises questions about evidence reliability; consequently, a natural extension is to study data from multiple memory dumps. Also important is the need to differentiate static data from dynamic data in the memory dumps; this enables investigators to link evidence based on memory structures and to determine if the evidence is found in a consistent area or a dynamic memory buffer, providing greater confidence in the reliability of the evidence. This paper proposes an indexing data structure for analyzing pages from multiple memory dumps in order to identify static and dynamic pages.
%G English
%2 https://inria.hal.science/hal-01060618v1/document
%2 https://inria.hal.science/hal-01060618v1/file/LawCYTLCIKHH10.pdf
%L hal-01060618
%U https://inria.hal.science/hal-01060618
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-337
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9