Data Mining Based Network Intrusion Detection System: A Survey

被引：11
|
作者：
Helali, Rasha G. Mohammed [1 ]
机构：
[1] Sudan Univ Sci & Technol, Coll Comp Sci & Informat Technol, Khartoum, Sudan
来源：
NOVEL ALGORITHMS AND TECHNIQUES IN TELECOMMUNICATIONS AND NETWORKING | 2010年
关键词：
Clustering; Knowledge Discovery and Data Mining cup; Hidden Makov Models; Network Intrusion Detection System; Signature - based IDS;
D O I：
10.1007/978-90-481-3662-9_86
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Significant security problem for networked systems is hostile trespass by users or software. Intruder is one of the most publicized threats to security. Network Intrusion Detection Systems (NIDS) have become a standard component in network security infrastructures. This paper presents the features of signature based NIDS in addition to the current state-of-the-art of Data Mining based NIDS approaches. Moreover, the paper provides general guidance for open research areas and future directions. The intention of this survey is to give the reader a broad overview of the work that has been done at the intersection between intrusion detection and data mining.
引用
收藏
页码：501 / 505
页数：5
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