First Stage Detection of Node Capture Attacks in WSN Based on Cloud Model

Abstract:

As a typical application of Internet of Things (IoT), the issue of protecting security of WSN will be an important problem effecting the expansion of IoT. Since the nodes of WSN are always arranged in an open environment, they are easy to be captured by adversaries. Traditional detections of capture always judge the attack by comparing the absence time of nodes with a certain threshold. In actual applications of WSN, the uncertainty of radio environment and transmission ability of nodes incurs problem of determination of threshold. According to the quality-quantity uncertainty conversion ability of Cloud Model, it is practical to calculate the absence time of nodes in a certain area, to establish the cloud of wireless environment. The threshold will be determined by cloud of wireless environment. Then, Cloud-based First Stage Detection (CFSD) is proposed to detect the node capture attacks in WSN. Simulation results verify that this approach can improve the accuracy of detection and decrease the false alarm probability.

• Periodical: Advanced Materials Research (Volumes 834-836)
• Pages: 905-912
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.834-836.905
• Online since: October 2013
• Authors: Lu Peng*, Guang Wei Zhang, Xiao Bin Xu, Qi Bo Sun, Fang Chun Yang
• Keywords: Capture Attacks, Cloud Model, Intrusion Detection, Wireless Sensor Network (WSN)

References

[1] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, et al. Wireless Sensor Networks: a Survey. Computer Networks . 2002, 38(4): p.393–422.

DOI: 10.1016/s1389-1286(01)00302-4

[2] Sun Limin, Li Jianzhong, Chen Yu, et al．Wireless sensor networks[M]．beijing: tsinghua university press，2005(in Chinese).

[3] PEI Qingqi, SHEN Yulong, MA Jianfeng．Survey of wireless sensor network security techniques [J]．Journal on Communications，2007，28(08)：113-122(in Chinese).

[4] Perrig A, Stankovic J, Wagner D. Security in wireless sensor networks[J]. Communications of the ACM, 2004, 47(6): 53-57.

DOI: 10.1145/990680.990707

[5] Su Z, Lin C, Feng FJ, et al．Key management schemes and protocols for wireless sensor networks [J]．Journal of Software，2007，18(5), 1218-1231(in Chinese).

[6] Tague P, Poovendran R. Modeling adaptive node capture attacks in multi-hop wireless networks[J]. Ad Hoc Networks, 2007, 5(6): 801-814.

DOI: 10.1016/j.adhoc.2007.01.002

[7] Ding, W., B. Laha, et al. First stage detection of compromised nodes in sensor networks[A]. In: Sensors Applications Symposium (SAS)[C]. Ireland: IEEE, 2010: 20-24.

DOI: 10.1109/sas.2010.5439387

[8] Ding, W., Y. Yu, et al. Distributed first stage detection for node capture[A]. In: IEEE Globecom 2010 Workshop on Web and Pervasive Security[C]. Miami, USA: IEEE, 2010: 1566-1570.

DOI: 10.1109/glocomw.2010.5700202

[9] Conti, M., R. Di Pietro, et al. Mobility and cooperation to thwart node capture attacks in MANETS[J]. EURASIP Journal on Wireless Communications and Networking, 2009: 1-13.

DOI: 10.1155/2009/945943

[10] Zhou Jie, Guo Yuanbo, Hu Lingyan. Detection and control of the node capture attack in WSN for node capture [J]. Journal of Xian University. 2012, 39(1), 185-190(in Chinese).

[11] Li Deyi, Du Yi. Artificial intelligence with uncertainty. Beijing: National Defence Industry Press. 2005(in Chinese).

[12] Lv Huijun, Wang Ye, Li Deyi, et al. The Application of Backward Cloud in Qualitative Evaluation. Chinese Journal of Computers. 2003, 26(8): 1009-1015(in Chinese).

[13] Song Yuanjun, Li Deyi, Yang Xiaozong, et al. Reliability Evaluation of Electronic Products Based on Cloud Models. Acta Electronica Sinica. 2000, 28(12): 74-77(in Chinese).

[14] Information on http: /db. lcs. mit. edu/labdata/labdata. html.

[15] Heinzelman W R, Chandrakasan A, Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks[C]/System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on. IEEE, 2000: 10 pp. vol. 2.

DOI: 10.1109/hicss.2000.926982