Durairaj M

Work place: School of Computer Science, Engineering & Applications, Bharathidasan University, Trichy

E-mail: durairajum@gmail.com

Website:

Research Interests: Computer Science & Information Technology, Computer systems and computational processes, Computer Architecture and Organization, Theoretical Computer Science

Biography

Dr. M. Durairaj is Assistant Professor in School of Computer Science, Engineering and Applications, Bharathidasan University, Tiruchirappalli, Tamilnadu. He completed his Ph.D. in Computer Science as a full time research scholar at Bharathidasan University on April, 2011. Prior to that, he received master degree (M.C.A.) in 1997 and bachelor degree (B.Sc. in Computer Science) in 1993 from Bharathidasan University.  His Ph.D. work was to study different possibilities and device a methodology for hybridizing two Machine-learning techniques for making an effective prediction system for processing clinical / medical data. At present, he is Assistant Professor in Computer Science at Bharathidasan University, prior to this he was Research Associate at National Research Centre on Rapeseed-Mustard (Indian Council of Agricultural Research) for 12 years. He has 40 publications in his credit. His area of research includes Data Mining, Soft Computing, Cloud Computing and Big Data Analytics.

Author Articles
ANM to Perceive and Thwart Denial of Service Attack in WLAN

By Durairaj M Persia A

DOI: https://doi.org/10.5815/ijcnis.2015.06.07, Pub. Date: 8 May 2015

Wireless infrastructure network is vulnerable to Denial of Service (DoS) attack which makes the resources unavailable for its intended user. As an outcome of DoS attack, authenticated user is denied from accessing the network by spoofing legitimate client identity. Reduced protection in management frame led to MAC spoof DoS attack. Though 802.11w was developed to protect the management frame, the network is vulnerable to different DoS attacks and unable to prevent all types of DoS attacks. This motivated us to propose a mechanism to detect and prevent substantial number of DoS attacks. This paper proposes an algorithm called Alternative Numbering Mechanism (ANM) which prevents DoS attacks. The proposed solution is simulated in NS2 for experimentation. Packet delivery ratio, control overhead, normalized routing overhead, delay time, throughput and packet drop were measured for experimentation and to evaluate the performance of ANM. The experimental results of ANM demonstrate that the performance of ANM is encouraging and prevents nearly all types of DoS attacks.

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