COI code: ICEECS02_032
Paper Language: English
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Authors Anomaly-based intrusion detection system using Relational Detector Tree (RTD)Mohammad Dabiri - Department of Computer, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran
Khashayar Khosharay - Department of Computer, Buinzahra Branch, Islamic Azad University, Buinzahra, Iran
Golnoush Abaei - Shahab Danesh Institute of Higher Education, Qom
Abstract:Network security is one of the most challenging issues in network communication world. As network communications grow, vulnerabilities and penetrating attacks are predicted to be as prominent factors. So in order to thwart these attacks an intelligent and powerful intrusion detection system in required. In this paper, a multilayer intrusion detection system is proposed. In first layer, four types of detector are created using genetic algorithm which are used in the second layer to detect some anomalies or abnormal traffic data using Negative Selection Algorithm (NSA) and finally in last layer, the detected anomaly data are classified into four types of attack: DoS, Probe, R2l and U2r. The results show better performance in detecting and classifying new or unseen abnormal data. All experiments are done using KDDCUP99 dataset
Keywords:detector, genetic algorithm, Negative Selection Algorithm (NSA), DoS, Probe, R2l, U2r, KDDCUP99
COI code: ICEECS02_032
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Dabiri, Mohammad; Khashayar Khosharay & Golnoush Abaei, 2015, Anomaly-based intrusion detection system using Relational Detector Tree (RTD), 2ND International Conference on Electrical Engineering and Computer Science, شيراز, پرديس بين الملل توسعه ايده هزاره, https://www.civilica.com/Paper-ICEECS02-ICEECS02_032.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Dabiri, Mohammad; Khashayar Khosharay & Golnoush Abaei, 2015)
Second and more: (Dabiri; Khosharay & Abaei, 2015)
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The University/Research Center Information:
Type: Azad University
Paper No.: 510
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