An Experimental Assessment of Inconsistencies in Memory Forensics

Author:

Ottmann Jenny1ORCID,Breitinger Frank2ORCID,Freiling Felix1ORCID

Affiliation:

1. Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

2. University of Lausanne, Switzerland

Abstract

Memory forensics is concerned with the acquisition and analysis of copies of volatile memory (memory dumps). Based on an empirical assessment of observable inconsistencies in 360 memory dumps of a running Linux system, we confirm a state of overwhelming inconsistency in memory forensics: almost a third of these dumps had an empty process list and was therefore obviously incomplete. Out of those dumps that were analyzable, almost every second dump showed some form of inconsistency that potentially impacts the interpretation of the dump in a forensic investigation. These results are based on a new way to estimate the level of causal consistency of a memory dump. The factors influencing these inconsistencies are less clear but in general correlate with the level of concurrency (system load and number of threads).

Funder

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) as part of the Research and Training Group 2475 “Cybercrime and Forensic Computin”

Publisher

Association for Computing Machinery (ACM)

Subject

Safety, Risk, Reliability and Quality,General Computer Science

Reference38 articles.

1. Atomic snapshots of shared memory

2. Daniel P. Bovet and Marco Cesati. 2005. Understanding the Linux Kernel: From I/O Ports to Process Management. O’Reilly Media.

3. William Campbell. 2013. Volatile memory acquisition tools—A comparison across taint and correctness. In Proceedings of the 11th Australian Digital Forensics Conference.

4. Memory forensics: The path forward;Case Andrew;Digital Investigation,2017

5. Eoghan Casey. 2011. Digital Evidence and Computer Crime: Forensic Science, Computers and the Internet (3rd ed.). Academic Press. http://www.elsevierdirect.com/product.jsp?isbn=9780123742681

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Causal Inconsistencies are Normal in Windows Memory Dumps (too);Digital Threats: Research and Practice;2024-07-23

2. An Experimental Assessment of Inconsistencies in Memory Forensics;ACM Transactions on Privacy and Security;2023-12-12

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