Efficient Fingerprint Matching for Forensic Event Reconstruction

Latzo T (2021)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2021

Journal

Publisher: Springer

Edited Volumes: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series

Series: Digital Forensics and Cyber Crime. ICDF2C 2020

City/Town: Cham

Pages Range: 98-120

ISBN: 9783030687335

DOI: 10.1007/978-3-030-68734-2_6

Abstract

Forensic investigations usually utilize log files to reconstruct previous events on computing systems. Using standard log files as well as traces of system calls, we analyze what traces are left by different events on a GNU/Linux server that runs different common services like an SSH server, Wordpress, Nextcloud and Docker containers. Based on these traces, we calculate characteristic fingerprints of these events that can later be matched to other log files to detect them. We develop a matching algorithm and examine the different parameters that influence its performance both in terms of event detectability and detection time. We also examine the effect of using different subsets of system calls to improve matching efficiency.

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How to cite

APA:

Latzo, T. (2021). Efficient Fingerprint Matching for Forensic Event Reconstruction. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series. (pp. 98-120). Cham: Springer.

MLA:

Latzo, Tobias. "Efficient Fingerprint Matching for Forensic Event Reconstruction." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series. Cham: Springer, 2021. 98-120.

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