JAMMY: A Distributed and Dynamic Solution to Selective Jamming Attack in TDMA WSNs
Time division multiple access (TDMA) is often used in wireless sensor networks (WSNs), especially for critical applications, as it provides high energy efficiency, guaranteed bandwidth, bounded and predictable latency, and absence of collisions. However, TDMA is vulnerable to selective jamming attacks. In TDMA transmission, slots are typically pre-allocated to sensor nodes, and each slot is used by the same node for a number of consecutive superframes. Hence, an adversary could thwart a victim node's communication by simply jamming its slot(s). Such attack turns out to be effective, energy efficient, and extremely difficult to detect. In this paper, we present JAMMY, a distributed and dynamic solution to selective jamming in TDMA-based WSNs. Unlike traditional approaches, JAMMY changes the slot utilization pattern at every superframe, thus making it unpredictable to the adversary. JAMMY is decentralized, as sensor nodes determine the next slot utilization pattern in a distributed and autonomous way. Results from performance analysis of the proposed solution show that JAMMY introduces negligible overhead yet allows multiple nodes to join the network, in a limited number of superframes.
M. Tiloca et al., "JAMMY: A Distributed and Dynamic Solution to Selective Jamming Attack in TDMA WSNs," IEEE Transactions on Dependable and Secure Computing, vol. 14, no. 4, pp. 392-405, Institute of Electrical and Electronics Engineers (IEEE), Jul 2017.
The definitive version is available at https://doi.org/10.1109/TDSC.2015.2467391
Intelligent Systems Center
Keywords and Phrases
Bandwidth; DOS; Energy efficiency; Jamming; Sensor nodes; Wireless sensor networks; Decentralized slot acquisition; High energy efficiency; Secure slot permutation; Security; Time division multiple accesses (TDMA); Traditional approaches; Wireless sensor network (WSNs); WSNs; Time division multiple access; Decentralized slot acquisition; Selective jamming; TDMA
International Standard Serial Number (ISSN)
Article - Journal
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01 Jul 2017