Work place: Islamic Azad University, Tabriz Branch, Tabriz, Iran
E-mail: atashbarorang_z@yahoo.com
Website:
Research Interests: Software Construction, Software Development Process, Software Engineering
Biography
Zahra Atashbar Orang was born in 1984. She received B.S. degree in software engineering and M.S. degree in hardware engineering from University of Islamic Azad University, Tabriz Branch in 2006 and 2012 respectively.
By Zahra Atashbar Orang Ezzat Moradpour Ahmad Habibizad Navin Amir Azimi Alasti Ahrabi Mir Kamal Mirnia
DOI: https://doi.org/10.5815/ijcnis.2012.11.04, Pub. Date: 8 Oct. 2012
By ever increase in using computer network and internet, using Intrusion Detection Systems (IDS) has been more important. Main problems of IDS are the number of generated alerts, alert failure as well as identifying the attack type of alerts. In this paper a system is proposed that uses Adaptive Neuro-Fuzzy Inference System to classify IDS alerts reducing false positive alerts and also identifying attack types of true positive ones. By the experimental results on DARPA KDD cup 98, the system can classify alerts, leading a reduction of false positive alerts considerably and identifying attack types of alerts in low slice of time.
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