ROBin: Known-Plaintext Attack Resistant Orthogonal Blinding via Channel Randomization
Yanjun Pan, Yao Zheng, Ming Li

TL;DR
This paper introduces ROBin, a novel physical layer security scheme using rapid channel state changes and compressive sensing to thwart known-plaintext attacks by eavesdroppers, even with multiple antennas.
Contribution
RObin employs reconfigurable antennas and compressive sensing to dynamically alter the channel, providing a new method for secure wireless communication resistant to known-plaintext attacks.
Findings
Effectively prevents eavesdroppers from decoding messages
Reduces attack success rate to random guessing levels
Validated through extensive simulations and real-world tests
Abstract
Orthogonal blinding based schemes for wireless physical layer security aim to achieve secure communication by injecting noise into channels orthogonal to the main channel and corrupting the eavesdropper's signal reception. These methods, albeit practical, have been proven vulnerable against multi-antenna eavesdroppers who can filter the message from the noise. The vulnerability is rooted in the fact that the main channel state remains static in spite of the noise injection, which allows an eavesdropper to estimate it promptly via known symbols and filter out the noise. Our proposed scheme leverages a reconfigurable antenna for Alice to rapidly change the channel state during transmission and a compressive sensing based algorithm for her to predict and cancel the changing effects for Bob. As a result, the communication between Alice and Bob remains clear, whereas randomized channel state…
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Taxonomy
TopicsWireless Communication Security Techniques · Wireless Signal Modulation Classification · Sparse and Compressive Sensing Techniques
