2022•2022 International Symposium on Networks, Computers and Communications (ISNCC)Requires access

Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks

Avinash Kumar, Ye Zhu

Open publisher page 1 citations

Abstract

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

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.

Key concepts: Direct-sequence spread spectrum, Autocorrelation, Spread spectrum, Generalization, Computer science, Hidden Markov model, Sequence (biology), Algorithm

Related papers

Back to paper searchBrowse research topicsOriginal source
Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks — Research Paper | ScholarLens