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

Avinash Kumar; Y e Zhu

doi:10.1109/ISNCC55209.2022.9851804

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

Avinash Kumar
, Y e Zhu

Computer Science

Cleveland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2022 International Symposium on Networks, Computers and Communications, ISNCC 2022
Place of Publication	usa
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665485449
DOIs	https://doi.org/10.1109/ISNCC55209.2022.9851804
State	Published - Jan 1 2022
Event	2022 International Symposium on Networks, Computers and Communications, ISNCC 2022 - Shenzhen, China Duration: Jul 19 2022 → Jul 21 2022

Conference

Conference	2022 International Symposium on Networks, Computers and Communications, ISNCC 2022
Country/Territory	China
City	Shenzhen
Period	07/19/22 → 07/21/22

Keywords

Direct Sequence Spread Spectrum (DSSS)
Hiddem Markov Model

Access to Document

10.1109/ISNCC55209.2022.9851804

Cite this

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title = "Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks",

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.",

keywords = "Direct Sequence Spread Spectrum (DSSS), Hiddem Markov Model",

author = "Avinash Kumar and Zhu, \{Y e\}",

year = "2022",

month = jan,

day = "1",

doi = "10.1109/ISNCC55209.2022.9851804",

language = "English",

booktitle = "2022 International Symposium on Networks, Computers and Communications, ISNCC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2022 International Symposium on Networks, Computers and Communications, ISNCC 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

}

Kumar, A & Zhu, YE 2022, Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks. in 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022. Institute of Electrical and Electronics Engineers Inc., usa, 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022, Shenzhen, China, 07/19/22. https://doi.org/10.1109/ISNCC55209.2022.9851804

Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks. / Kumar, Avinash; Zhu, Y e.
2022 International Symposium on Networks, Computers and Communications, ISNCC 2022. usa: Institute of Electrical and Electronics Engineers Inc., 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Generalizing Direct Sequence Spread-Spectrum to Mitigate Autocorrelation-Based Attacks

AU - Kumar, Avinash

AU - Zhu, Y e

PY - 2022/1/1

Y1 - 2022/1/1

N2 - 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.

AB - 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.

KW - Direct Sequence Spread Spectrum (DSSS)

KW - Hiddem Markov Model

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U2 - 10.1109/ISNCC55209.2022.9851804

DO - 10.1109/ISNCC55209.2022.9851804

M3 - Conference contribution

BT - 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

CY - usa

T2 - 2022 International Symposium on Networks, Computers and Communications, ISNCC 2022

Y2 - 19 July 2022 through 21 July 2022

ER -

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

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Conference

Keywords

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