Data Mining Based Network Intrusion Detection System: A Survey
Data Mining Based Network Intrusion Detection System: A Survey
复制标题
基于数据挖掘的网络入侵检测系统：调查
DOI：
10.1007/978-90-481-3662-9_86
复制
发表时间：
2008
影响因子：
3.2
通讯作者：
R. G. M. Helali
中科院分区：
文献类型：
--
作者：
R. G. M. Helali
网络系统的重要安全问题是用户或软件的恶意入侵。入侵者是最常见的安全威胁之一。网络入侵检测系统已经成为网络安全基础设施的标准组件。本文介绍了基于特征的网络入侵检测系统的特点以及目前基于数据挖掘的网络入侵检测系统的研究现状。此外，该文件提供了开放的研究领域和未来的发展方向的一般指导。这个调查的目的是给读者一个广泛的概述，已经做了入侵检测和数据挖掘之间的交叉点的工作。
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.