A New Approach to Detect WEB Attacks Senario in Intrusion Detection System

被引：0

作者：

Rahmoun, Noureddine ^{[1
]}

Saber, Mohammed ^{[1
]}

Ettifouri, Elhassane ^{[1
]}

Zeaaraoui, Adil ^{[1
]}

Bouchentouf, Toumi ^{[1
]}

机构：

[1] First Mohammed Univ, Natl Sch Appl Sci, Lab LSE2I, Oujda, Morocco

来源：

PROCEEDINGS OF THE MEDITERRANEAN CONFERENCE ON INFORMATION & COMMUNICATION TECHNOLOGIES 2015 (MEDCT 2015), VOL 2 | 2016年 / 381卷

关键词：

WEB attacks; Intrusion detection system (IDS); Naive bayes classifier; Markov chain; False positive;

D O I：

10.1007/978-3-319-30298-0_59

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：

The tremendous growth of the web-based applications has increased information security vulnerabilities over the Internet. Security administrators use Intrusion-Detection System (IDS) to monitor network traffic and host activities to detect attacks against hosts and network resources. The solutions proposed in the literature actually achieved good results for the detection rate, while there is still room for reducing the false positive rate. To this end, in this paper we propose a model of an IDS based on combination of Markov chain and Naive Bayes, to reduce the rate of false positive.

引用

页码：569 / 573

页数：5

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