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Title |
Presenting a new Method of Intrusion Detection Systems based on Fuzzy Logic using Genetic Algorithms |
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Author |
Shahin Ghafori and Mansour Esmaeilpour |
| Citation |
Vol. 25 No. 7 pp. 154-160 |
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Abstract |
Nowadays, the speed of access to information as well as immediate processing are necessary. This has led to the storage of more information in computer systems and to use this information, we have to share them. Intruders may use specific patterns that their detection and identification is very difficult. In the suggested method and to optimize the obtained fuzzy rule set, heuristic method was used. This method, according to the criteria such as accuracy and interpretability, looks for a set of fuzzy rules in the space related to the rule set that indicates the best efficiency. One of the problems of intrusion detection systems is that there is little opportunity for identification. Also, it is not possible to make a good distinction between efficient features and inefficient features manually. Finally, the suggested method was implemented as software on NSL-KDD99 intrusion detection dataset that contains information about normal and intruded behaviors in computer networks. |
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Keywords |
intrusion detection system, fuzzy logic, genetic algorithms |
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