Performance of Codebook-Aware Jamming Attacks

Abstract

We introduce a new class of codebook-aware jamming strategies against coded transmissions over AWGN channels. The proposed strategies derive attack vectors from non-zero positions of minimum-weight codewords in Hamming space and utilize the geometry of minimum-distance error events in Euclidean space in their attack. We characterize the success probability of the attacker analytically and utilize these results for attack optimization. We demonstrate that the proposed jamming attacks are highly efficient; compared to Gaussian attack vectors with the same energy budget, the attacker’s success probability is increased by more than two orders of magnitude while only consuming a fraction of the energy of the attacked codeword.

Publication
In 2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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