| feature selection methods in intrusion detection systems |
| کد مقاله : 1186-CFIS (R1) |
| نویسندگان |
|
صدیقه منصوری باب هوتک *، مرجان کوچکی رفسنجانی گروه علوم کامپیوتر، دانشکده ریاضی و کامپیوتر، دانشگاه شهید باهنر کرمان، کرمان، ایران |
| چکیده مقاله |
| By the growth of network-based technologies, intrusion detection plays an important role in modern computer systems. Intrusion detection system (IDS), detect abnormal activates in the computers or networks. The efficiency of intrusion detection systems is mainly dependent on the dimension of data features. In this paper, three different intrusion detection systems that use feature selection methods are expressed and compared. The results show that, applying feature selection methods in IDS led to higher accuracy and detection rate. |
| کلیدواژه ها |
| Feature Selection, Intrusion Detection System (IDS), SVM Classifier, LSSVM Classifier. |
| وضعیت: پذیرفته شده برای ارائه شفاهی |