JAM-ME: Exploiting Jamming to Accomplish Drone Mission

Roberto Di Pietro, Gabriele Oligeri, Pietro Tedeschi

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

14 Citations (Scopus)

Abstract

In this paper, we show, for the first time in the literature, that the common assumption that jamming is an effective way to neutralise drones, is false. In particular, we propose JAM-ME a solution that allows the drone to exploit an adversarial jamming signal to implement an emergency but yet effective navigation system, enabling the drone to accomplish its mission. Our contributions are manifold: first, we revise the jamming based anti-drone techniques; second, we introduce a basic model for JAM-ME and accompanying mathematical tool-rooted in systems control theory. Further, we show through an extensive simulation campaign that JAM-ME do allow a drone to accomplish its mission in a jammed area. Finally, we also discuss possible techniques to mitigate the impact of JAM-ME as well as its limitations, and we conclude highlighting further research directions. We believe that our contribution, other than being interesting on its own, can pave the way for further research in the highlighted directions, as well as having a compelling follow up from a practitioner point of view.

Original languageEnglish
Title of host publication2019 IEEE Conference on Communications and Network Security, CNS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538671177
DOIs
Publication statusPublished - Jun 2019
Event2019 IEEE Conference on Communications and Network Security, CNS 2019 - Washington, United States
Duration: 10 Jun 201912 Jun 2019

Publication series

Name2019 IEEE Conference on Communications and Network Security, CNS 2019

Conference

Conference2019 IEEE Conference on Communications and Network Security, CNS 2019
Country/TerritoryUnited States
CityWashington
Period10/06/1912/06/19

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