NDLI: Preprocessor of Intrusion Alerts Correlation Based on Ontology

Content Provider	IEEE Xplore Digital Library
Author	Wan Li Shengfeng Tian
Copyright Year	2009
Abstract	Intrusion detection systems (IDS) often provide a large number and poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder’s next likely goal. Several alert correlation techniques have been proposed to facilitate the analysis of intrusion alerts. However, many works directly upon the alerts, they do not distinguish between alerts and intruders' attack actions. In addition, many works are not grounded on any standard taxonomy, their associated classification schemes are ad hoc and localized. This paper focus on reducing alerts to attack actions with IDMEF and CVE standards in the preprocessor of our intrusion alerts correlation system which is based on ontology. At first, we introduce our intrusion alerts correlation system. Then we present each modules of the preprocessor, they are local preprocessor, IDMEF parser, alert to attack module and attack to ontology module.
Starting Page	460
Ending Page	464
File Size	369751
Page Count	5
File Format	PDF
ISBN	9780769535012
DOI	10.1109/CMC.2009.63
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-01-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	alerts correlation Taxonomy OWL Standardization preprocessor Ontologies intrusion detection Information technology Filters Intrusion detection XML Software systems Data models ontology
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
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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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