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Mir Kamal Mirnia

Work place: Islamic Azad University, Science and Research Branch, Tabriz, Iran

E-mail: mirnia-kam@tabrizu.ac.ir

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Research Interests: Autonomic Computing, Computer Architecture and Organization, Computing Platform, Data Structures and Algorithms, Mathematics of Computing

Biography

Mir Kamal Mirnia. He was born in 1946. He received the B.S. degree in joint mathematics and physics from University of Mashhad, Iran, in 1967. He received the M.S. degree in pure mathematics from University of Tehran, Iran, in 1969. He received his second M.S. degree in numerical analysis and computing from University of Manchester, UK, in 1975, and the Ph.D. in applied mathematics from University of Andrews, UK, in 1979. He is currently a Professor in the Department of Computer Engineering. His research interest includes numerical analysis, soft computing, nonlinear programming and unconstrained optimization. He is member of Associate Fellow of the Institute of Mathematics and its Applications (AFIMA).

Author Articles
Using Adaptive Neuro-Fuzzy Inference System in Alert Management of Intrusion Detection Systems

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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