A New Approach for Detection of Insider Attacks

被引：0

作者：

Sen, Sevil ^{[1
]}

机构：

[1] Hacettepe Univ, Bilgisayar Muhendisligi Bolumu, Ankara, Turkey

来源：

2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年

关键词：

insider threats; anomaly detection; Naive Bayes classification;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Insider attacks are among the top security threats today. The basic assumption underlying detection of these attacks is that the insider attackers will deviate from the typical behavior of his victims in order to carry out his malicious activities. In this research, we propose a new approach to detect insider attacks based on this assumption as well.

引用

页数：4

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