Abdelkader Khobzaoui, M. Benhamouda, Mahmoud Fahsi
{"title":"Data mining Contribution to Intrusion Detection Systems Improvement","authors":"Abdelkader Khobzaoui, M. Benhamouda, Mahmoud Fahsi","doi":"10.1145/3447568.3448514","DOIUrl":null,"url":null,"abstract":"Intrusion detection has become one of the most prominent components in computer security field. In order to improve intrusion detection systems performances, Data mining techniques have been massively used. Actually, the massive integration of data mining technique in intrusion detection has quickly emerged due to the fact that intrusion detection task is a classification problem by nature and Data mining provides tools to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system features to build classifiers able to recognize abnormal or suspicious activities. In this paper, we will stress the role of the data mining in intrusion detection systems development and promotion.","PeriodicalId":335307,"journal":{"name":"Proceedings of the 10th International Conference on Information Systems and Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Information Systems and Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3447568.3448514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Intrusion detection has become one of the most prominent components in computer security field. In order to improve intrusion detection systems performances, Data mining techniques have been massively used. Actually, the massive integration of data mining technique in intrusion detection has quickly emerged due to the fact that intrusion detection task is a classification problem by nature and Data mining provides tools to discover consistent and useful patterns of system features that describe program and user behavior, and use the set of relevant system features to build classifiers able to recognize abnormal or suspicious activities. In this paper, we will stress the role of the data mining in intrusion detection systems development and promotion.