NICRMar 15, 2017

Energy-Efficient Secrecy in Wireless Networks Based on Random Jamming

arXiv:1703.05194v111 citations
Originality Incremental advance
AI Analysis

This addresses the problem of ensuring secrecy in wireless networks for applications like military or sensitive communications, but it is incremental as it builds on prior routing algorithms by adding jamming without requiring eavesdropper information.

The paper tackles secure energy-efficient routing in wireless networks with unknown passive eavesdroppers by developing an algorithm that uses additive random jamming to exploit receiver non-idealities, and simulation results show it outperforms existing methods in energy consumption and secrecy under high uncertainty or disadvantaged environments.

This paper considers secure energy-efficient routing in the presence of multiple passive eavesdroppers. Previous work in this area has considered secure routing assuming probabilistic or exact knowledge of the location and channel-state-information (CSI) of each eavesdropper. In wireless networks, however, the locations and CSIs of passive eavesdroppers are not known, making it challenging to guarantee secrecy for any routing algorithm. We develop an efficient (in terms of energy consumption and computational complexity) routing algorithm that does not rely on any information about the locations and CSIs of the eavesdroppers. Our algorithm guarantees secrecy even in disadvantaged wireless environments, where multiple eavesdroppers try to eavesdrop each message, are equipped with directional antennas, or can get arbitrarily close to the transmitter. The key is to employ additive random jamming to exploit inherent non-idealities of the eavesdropper's receiver, which makes the eavesdroppers incapable of recording the messages. We have simulated our proposed algorithm and compared it with existing secrecy routing algorithms in both single-hop and multi-hop networks. Our results indicate that when the uncertainty in the locations of eavesdroppers is high and/or in disadvantaged wireless environments, our algorithm outperforms existing algorithms in terms of energy consumption and secrecy.

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