NDLI: Automated Anomaly Detection Using Time-Variant Normal Profiling

Content Provider	IEEE Xplore Digital Library
Author	Jung Yeop Kim Gantenbein, R.E.
Copyright Year	2006
Description	Author affiliation: Utica Coll., Utica (Jung Yeop Kim)
Abstract	Anomaly detection provides automated detection of unauthorized intrusion into a computer system by creating a normal profile of the system's behavior, then raising an alert when the system's behavior does not fit the system's normal profile. Approaches to anomaly detection that focus on investigating user's behavior typically assume that a user's command sequences will not vary significantly over time and so tend to flag "unusual" but safe activities as anomalies. We propose the use of "time-variant normal" user profiles that assume a user will change activities over time. The approach combines string-matching algorithms from machine intelligence and sequence alignment algorithms from biomedical informatics to dynamically evaluate user behavior.
Starting Page	1
Ending Page	4
File Size	2878070
Page Count	4
File Format	PDF
ISBN	1889335339
DOI	10.1109/WAC.2006.376026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-24
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Intrusion detection Protection Computerized monitoring Change detection algorithms Biomedical computing Condition monitoring Automation Educational institutions Machine intelligence Biomedical informatics automated systems Security intrusion detection anomaly detection pattern matching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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