Title: Fuzzy-based DDoS attack mitigation for reducing false positives in WLAN

Authors: Sundaram Suganthi; Murgaiyan Aramudhan

Addresses: Tagore Arts College, Government of Puducherry, India ' Department of Information Technology, Perunthalaivar Kamarajar Institute of Engineering and Technology, Nedungadu, Karaikal, India

Abstract: In wireless local area network (WLAN), accurately detecting the distributed denial of service (DDoS) attack is challenging. Hence in this paper, a fuzzy-based DDoS attacks mitigation technique is proposed to reduce the false positives. Initially the traffic level of the nodes are estimated based on the attack thresholds levels determined using the game theory model. The traffic level, confidence on attack (COA) and network performance degradation (NPD) are considered as input parameters for the fuzzy logic model and the response action is determined as output. The response action includes filtering and removing the attackers from the routing table. By simulation results, it will be shown that the proposed technique enhances the detection accuracy.

Keywords: wireless LANs; local area networks; WLANs; distributed DoS; denial of service; DDoS attacks; fuzzy logic; game theory; confidence on attack; COA; attack mitigation; false positives; traffic levels; network performance degradation; simulation; detection accuracy.

DOI: 10.1504/IJMNDI.2016.079002

International Journal of Mobile Network Design and Innovation, 2016 Vol.6 No.3, pp.156 - 163

Received: 10 Oct 2015
Accepted: 14 Feb 2016

Published online: 08 Sep 2016 *

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