Title: A novel HHT and KS statistic approach to detect RoQ attack in wireless sensor network

Authors: Hongsong Chen; Zhongchuan Fu; Gang Wang

Addresses: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Computer Science, Harbin Institute of Technology, Harbin, 150001,China ' Railway Police College, Zhengzhou, Henan, 450053, China

Abstract: Reduction of quality (RoQ) attack is a special denial of service (DoS) attack. It is a serious threat to the security of wireless sensor network (WSN). The RoQ attack combines the attack effectiveness and the similarity to normal traffic, so it is difficult to detect by traditional methods. Hilbert-Huang transform (HHT) time frequency analysis method can be utilised to analyse the nonlinear small signal produced by RoQ attack. However, false IMF components are the challenge problems to detect the RoQ attack. Kolmogorov-Smirnov (KS) test approach is proposed to recognise the false intrinsic mode function (IMF) components. CC2530 system-on-chip is selected to build WSN experimental node. Ad hoc on-demand distance vector (AODV) routing protocol and random routing request (RREQ) flooding attack are simulated to implement RoQ attack in Zigbee wireless sensor network. Experimental results demonstrate that the novel approach is effective to detect RoQ attack in Zigbee WSN.

Keywords: Hilbert-Huang transform; HHT; KS test; RoQ attack; WSN; intrusion detection.

DOI: 10.1504/IJES.2019.102439

International Journal of Embedded Systems, 2019 Vol.11 No.5, pp.643 - 652

Received: 24 Sep 2018
Accepted: 10 Jan 2019

Published online: 24 Sep 2019 *

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