SPCRApr 21, 2020

Non-Orthogonal Waveforms in Secure Communications

arXiv:2004.10228v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses security vulnerabilities in communication systems for users needing protection from eavesdropping, but it appears incremental as it builds on existing non-orthogonal waveform concepts.

The paper tackles the problem of defending against eavesdropping in secure communications by using non-orthogonal multi-carrier waveforms, proposing waveform scaling and tuning strategies to complicate signal detection and cause misidentification, resulting in prevention of eavesdropping attacks.

This work investigates the possibility of using non-orthogonal multi-carrier waveforms to defend against eavesdropping attacks. The sophisticated detection required for non-orthogonal signals provides a natural defence mechanism in secure communications. However, brute-force tactics such as maximum likelihood detection would break the defence by attempting all possible solutions. Thus, a waveform scaling strategy is proposed to scale up the number of non-orthogonally packed sub-carriers, which complicates signal detections and prevents eavesdropping. In addition, a waveform tuning strategy is proposed to intentionally tune waveform parameters to enhance feature similarity. Therefore, eavesdroppers would be confused to misidentify signals resulting in subsequent detection failures.

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