The impact of GPU-assisted malware on memory forensics: A case study

Davide Balzarotti, Roberto Di Pietro, Antonio Villani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper we assess the impact of GPU-assisted malware on memory forensics. In particular, we first introduce four different techniques that malware can adopt to hide its presence. We then present a case study on a very popular family of Intel GPUs, and we analyze in which cases the forensic analysis can be performed using only the host's memory and in which cases it requires access to the GPU's memory. Our analysis shows that, by offloading some computation to the GPUs, it is possible to successfully hide some malicious behavior. Furthermore, we provide suggestions and insights about which artifacts could be used to detect the presence of GPU-assisted malware.
Original languageEnglish (US)
Title of host publicationProceedings of the Digital Forensic Research Conference, DFRWS 2015 USA
PublisherDigital Forensic Research Workshop
PagesS16-S24
DOIs
StatePublished - Jan 1 2015
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-20

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