DocumentCode :
2829033
Title :
Detecting computer and network misuse through the production-based expert system toolset (P-BEST)
Author :
Lindqvist, Ulf ; Porras, Phillip A.
Author_Institution :
Dept. of Comput. Eng., Chalmers Univ. of Technol., Goteborg, Sweden
fYear :
1999
fDate :
1999
Firstpage :
146
Lastpage :
161
Abstract :
The paper describes an expert system development toolset called the Production-Based Expert System Toolset (P-BEST) and how it is employed in the development of a modern generic signature analysis engine for computer and network misuse detection. For more than a decade, earlier versions of P-BEST have been used in intrusion detection research and in the development of some of the most well known intrusion detection systems, but this is the first time the principles and language of P-BEST are described to a wide audience. We present rule sets for detecting subversion methods against which there are few defenses-specifically, SYN flooding and buffer overruns-and provide performance measurements. Together, these examples and performance measurements indicate that P-BEST based expert systems are well suited for real time misuse detection in contemporary computing environments. In addition, the simplicity of the P-BEST language and its close integration with the C programming language makes it easy to use while still being very powerful and flexible
Keywords :
authorisation; computer network management; expert system shells; programming environments; real-time systems; safety systems; signal processing; C programming language; P-BEST based expert systems; Production-Based Expert System Toolset; SYN flooding; buffer overruns; contemporary computing environments; expert system development toolset; intrusion detection systems; modern generic signature analysis engine; network misuse detection; performance measurements; production based expert system toolset; real time misuse detection; rule sets; subversion methods; Computer languages; Computer networks; Computer science; Engines; Expert systems; Floods; Intrusion detection; Laboratories; Measurement; Operating systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Security and Privacy, 1999. Proceedings of the 1999 IEEE Symposium on
Conference_Location :
Oakland, CA
ISSN :
1081-6011
Print_ISBN :
0-7695-0176-1
Type :
conf
DOI :
10.1109/SECPRI.1999.766911
Filename :
766911
Link To Document :
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