MDMA: A Multi-Data and Multi-ACK Verified Selective Forwarding Attack Detection Scheme in WSNs
Author:
Affiliation:
1. School of Information Science and Engineering, Central South University
2. Computer Science and Engineering, Huazhong University of Science and Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E99.D/8/E99.D_2015INP0005/_pdf
Reference15 articles.
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3. [3] Y. Hu, M. Dong, K. Ota, et al., “Mobile Target Detection in Wireless Sensor Networks With Adjustable Sensing Frequency,” IEEE System Journal, 2014.
4. [4] Z.K. Wazir, X. Yang, Y.A. Mohammed, and A. Quratulain, “Comprehensive study of selective forwarding attack in wireless sensor networks,” International Journal of Computer Network and Information Security (IJCNIS), vol.3, no.1, p.1-10, 2011.
5. [5] B. Xiao, B. Yu, and C. Gao, “CHEMAS: Identify suspect nodes in selective forwarding attacks,” Journal of Parallel and Distributed Computing, vol.67, no.11, pp.1218-1230, 2007.
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