Abstract
This paper studies the problem of DoS attacks in wireless sensor networks (WSNs) security threat. Considering the Path-based DoS (PDoS) attack, this paper proposes a PDoS attack detection algorithm based on outlier mining in clustering (PDADBC). First, we give the definition of outliers under the background of PDoS attack of WSNs. The proposed PDADBC mainly include two periods, the first one is data pre-processing, in which the two-dimensional data are normalized to ensure the outlier detection in the following period more efficiency and accurate. After data pre-processing, the second period will perform the outlier detection algorithm, which is based on the improved DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm. The simulation results show that the proposed detection algorithm can effectively detect the PDoS attack.
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Zhang, Z., Chen, D., Liu, Y., Xiong, F., Chao, HC. (2015). The Research on Path-Based DoS Attack Detection Algorithm in Wireless Sensor Networks. In: Uden, L., Heričko, M., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham. https://doi.org/10.1007/978-3-319-21009-4_43
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DOI: https://doi.org/10.1007/978-3-319-21009-4_43
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