Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks
Avinash Kumar, Ye Zhu · 2022 International Symposium on Networks, Computers and Communications (ISNCC) · 2022
In this paper, we propose to generalize the Direct Sequence Spread Spectrum (DSSS) communication scheme with a Dual Hidden Markov Model-based Spread Spectrum (DHSS) communication scheme. The generalization aims to defeat existing autocorrelation-based attacks, which are proven effective on DSSS. DHSS is highly resistant to the autocorrelation-based attacks because chip sequences in DHSS are generated randomly for each information bit with Hidden Markov Models. As a spread spectrum communication technique, DHSS still takes advantage of benefits brought by processing gain. The cost of resistance to the autocorrelation-based attacks for DHSS is slight degradation in BER performance, about 2dB inferior to DSSS.