NDLI: Mining alarm clusters to improve alarm handling efficiency

Content Provider	IEEE Xplore Digital Library
Author	Julisch, K.
Copyright Year	2001
Description	Author affiliation: Zurich Res. Lab., IBM Res. Div., Zurich, Switzerland (Julisch, K.)
Abstract	It is a well-known problem that intrusion detection systems overload their human operators by triggering thousands of alarms per day. As a matter of fact, IBM Research's Zurich Research Laboratory has been asked by one of our service divisions to help them deal with this problem. This paper presents the results of our research, validated thanks to a large set of operational data. We show that alarms should be managed by identifying and resolving their root causes. Alarm clustering is introduced as a method that supports the discovery of root causes. The general alarm clustering problem is proved to be NP-complete, an approximation algorithm is proposed, and experiments are presented.
Sponsorship	Appl. Comput. Security Associates
Starting Page	12
Ending Page	21
File Size	269538
Page Count	10
File Format	PDF
ISBN	0769514057
DOI	10.1109/ACSAC.2001.991517
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intrusion detection Humans Telecommunication traffic Network address translation Laboratories Approximation algorithms Clustering algorithms Monitoring Pattern matching TCPIP
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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Mining alarm clusters to improve alarm handling efficiency