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Dodge-Jam: Anti-Jamming Technique for Low-Power and Lossy Wireless Networks

Authors
Heo, J.Kim, J.-J.Bahk, S.Paek, J.
Issue Date
Jun-2017
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
IEEE 802.15.4; Jamming; Low-power Lossy Network (LLN); Security; Wireless Sensor Network
Citation
2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
Journal Title
2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2017
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/55414
DOI
10.1109/SAHCN.2017.7964926
ISSN
0000-0000
Abstract
Jamming is one of the most famous and powerful attacks in wireless networks, and is advancing to be more stealthy and long-lasting with limited energy. Stealthy attackers transmit short jamming signals to become less detectable with less energy, and yet powerful enough to ruin the entire packet transmission procedures. For this study, we deal with three types of stealthy attacks: 'reactive jamming', 'jamming ACK', and 'fake ACK' attacks. These attacks are fatal to Low-power and Lossy wireless Network (LLN) applications because they not only interfere with communication, but also cause LLN devices to quickly drain their batteries. In this paper, we present Dodge-Jam, a light-weight antijamming technique suitable for LLN environments to address the stealthy jamming attacks with small overhead. It protects ACK exchange by switching the ACK channel calculated based on the content of a data packet. Moreover, by partitioning a packet into multiple small blocks and performing logical shifts of the blocks when retransmitting the packet, it helps the receiver recover the original packet from multiple erroneous packets. We implement Dodge-Jam on practical embedded devices, and evaluate its performance through experiments on a multihop LLN testbed. Our results show that Dodge-Jam successfully avoids many jamming attacks, recovers packets that have been jammed, and improves packet delivery performance of both singlehop and multihop networks significantly. © 2017 IEEE.
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소프트웨어대학 (소프트웨어학부)
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