期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：2
页码：15770-15779
DOI：10.18535/ijecs/v5i2.19
出版社：IJECS
摘要：Intrusion detection has become an essential element of network administration thanks to the huge range of attackspersistently threaten our computers. Ancient intrusion detection systems area unit restricted and do not give a whole resolution forthe matter. They look for potential malicious activities on network traffics; they generally succeed to search out true securityattacks and anomalies. However, in several cases, they fail to observe malicious behaviors (false negative) or they fireplace alarmsonce nothing wrong within the network (false positive). Additionally, they need thorough manual process and human professionalinterference. Applying data processing (DM) techniques on network traffic information may be a promising resolution that helpsdevelop higher intrusion detection systems. Moreover, Network Behavior Analysis (NBA) is additionally associate degreeeffective approach for intrusion detection. During this paper, we tend to discuss DM and NBA approaches for network intrusionobservation and recommend that a mix of each approach has the potential to detect intrusions in networks additional effectively
关键词：Network Intrusion Detection; Network Behavior Analysis; data processing Algorithms
