Radio Signal Smart Deception Based on Adversarial Learning

Shuting Tang, Mingliang Tao, Jia Su, Yifei Fan, Ling Wang, Tao Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In recent years, electromagnetic spectrum becomes more and more congested and the task of spectrum sensing meets various challenges. On the other hand, there is also a counter-demand that the transmitted signal should not be detected, intercepted, or identified by the intelligent spectrum sensing equipment. In this paper, a smart deception method for radio signal using adversarial learning under the black-box assumption is investigated. By generating smart deception, the accuracy of the intelligent electromagnetic spectrum equipment to identify the radio signal decreasing more than 50.63%. The radio signal camouflage is achieved by smart deception, which will lower the interception and identification possibility of the transmitted signal.

Original languageEnglish
Title of host publication2021 CIE International Conference on Radar, Radar 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2259-2262
Number of pages4
ISBN (Electronic)9781665498142
DOIs
StatePublished - 2021
Event2021 CIE International Conference on Radar, Radar 2021 - Haikou, Hainan, China
Duration: 15 Dec 202119 Dec 2021

Publication series

NameProceedings of the IEEE Radar Conference
Volume2021-December
ISSN (Print)1097-5764
ISSN (Electronic)2375-5318

Conference

Conference2021 CIE International Conference on Radar, Radar 2021
Country/TerritoryChina
CityHaikou, Hainan
Period15/12/2119/12/21

Keywords

  • adversarial learning
  • black-box deception
  • Low probability of intercept
  • radio signal camouflage
  • smart deception

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