Graph clustering and anomaly detection of access control log for forensic purposes-Reference-Cited by-同舟云学术

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Graph clustering and anomaly detection of access control log for forensic purposes

Published:2017-06 Issue: Volume:21 Page:76-87
ISSN:1742-2876
Container-title:Digital Investigation
language:en
Short-container-title:Digital Investigation

Author:

Studiawan Hudan^ORCID,Payne Christian,Sohel Ferdous

Funder

Endowment Fund for Education

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference44 articles.

1. What lies beneath? Analyzing automated SSH bruteforce attacks;Abdou,2015

2. Outlier Analysis, Springer;Aggarwal,2013

3. Swatch: Simple log watcher;Atkinds,2015

4. Logging and log analysis;Basin,2011

5. Gephi: an open source software for exploring and manipulating networks;Bastian,2009

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1. Stream Clustering on a Forensic Timeline;2024 12th International Symposium on Digital Forensics and Security (ISDFS);2024-04-29

2. Anomaly detection for space information networks: A survey of challenges, techniques, and future directions;Computers & Security;2024-04

3. Anomaly Detection in Cyber Security with Graph-Based LSTM in Log Analysis;Chaos Theory and Applications;2023-11-30

4. File Tracking and Visualization Methods Using a Network Graph to Prevent Information Leakage;IEICE Transactions on Information and Systems;2023-09-01

5. Formal concept analysis approach to understand digital evidence relationships;International Journal of Approximate Reasoning;2023-08

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