Data Mining with Improved and Efficient Mechanism to Detect the Vulnerabilities using Intrusion Detection System

Provided by: International Journal of Advanced Research in Computer Engineering & Technology
Topic: Security
Format: PDF
Intrusion Detection System must be capable of known and unknown vulnerabilities. The authors already studied the previous problems which include detection of known vulnerabilities and unknown vulnerabilities. In order to obtain good accuracy a relevant or efficient dataset should be there to detect the known attacks and unknown attacks. Therefore, there are numerous security systems and Intrusion Detection Systems that address different aspects of computer security. In this research paper, they proposed an approach that is sequential multilevel misuse detection model with the fuzzy rules for the detection of known and unknown attacks on the efficient intrusion dataset either kdd dataset, Nsl-dataset, tcp dump etc. Empirical studies show not much performance or accuracy of detecting the known and unknown attacks.

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