Work place: Islamic Azad University, Science and Research, Tabriz, Iran
E-mail: ah_habibi@iaut.ac.ir
Website:
Research Interests: Computer systems and computational processes, Robotics, Computer Architecture and Organization, Systems Architecture, Data Structures and Algorithms
Biography
Ahmad Habibizad Navin. He was born in 1950. He received the B.S. degree in applied mathematics from Tabriz University, Tabriz, Iran, in 1999. He received the M.S. degree in computer architecture from University of Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2003 and the Ph.D. in computer architecture from University of Science and Research Branch, Islamic Azad University, Tehran, Iran, in 2007. His research interest includes data-oriented approach, robotic, soft computing and probability and statistic.
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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