On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review
<p dir="ltr">The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect pr...
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2022
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إضافة وسم
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| _version_ | 1864513561079840768 |
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| author | Muhammad Asif Khan (7367468) |
| author2 | Hamid Menouar (16904844) Aisha Eldeeb (16904847) Adnan Abu-Dayya (16904850) Flora D. Salim (16799313) |
| author2_role | author author author author |
| author_facet | Muhammad Asif Khan (7367468) Hamid Menouar (16904844) Aisha Eldeeb (16904847) Adnan Abu-Dayya (16904850) Flora D. Salim (16799313) |
| author_role | author |
| dc.creator.none.fl_str_mv | Muhammad Asif Khan (7367468) Hamid Menouar (16904844) Aisha Eldeeb (16904847) Adnan Abu-Dayya (16904850) Flora D. Salim (16799313) |
| dc.date.none.fl_str_mv | 2022-04-29T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/jsen.2022.3171293 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/On_the_Detection_of_Unauthorized_Drones_Techniques_and_Future_Perspectives_A_Review/24056430 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Electronics, sensors and digital hardware Information and computing sciences Distributed computing and systems software Drones Sensors Privacy Autonomous aerial vehicles Sensor phenomena and characterization Wireless sensor networks Wireless communication Unmanned aerial vehicles Drone detection Radio Radar Security Visual |
| dc.title.none.fl_str_mv | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect privacy of people from the illegitimate uses of commercial drones, a drone detection system is inevitable. In particular, there is a need for a drone detection system that is efficient, accurate, robust, cost-effective and scalable. Recognizing the importance of the problem, several drone detection approaches have been proposed over time. However, none of these provides sufficient performance due to the inherited limitations of the underlying detection technology. More specifically, there are trade-offs among various performance metrics e.g., accuracy, detection range, and robustness against environmental conditions etc. This motivates an in-depth study and critical analysis of the existing approaches, highlighting their potential benefits and limitations. In this paper, we provide a rigorous overview of the existing drone detection techniques and a critical review of the state-of-the-art. Based on the review, we provide key insights on the future drone detection systems. We believe these insights will provide researchers and practicing engineers a holistic view to understand the broader context of the drone detection problem.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Sensors Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jsen.2022.3171293" target="_blank">https://dx.doi.org/10.1109/jsen.2022.3171293</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_0dea8f01558c2be8616286c468c85880 |
| identifier_str_mv | 10.1109/jsen.2022.3171293 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24056430 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A ReviewMuhammad Asif Khan (7367468)Hamid Menouar (16904844)Aisha Eldeeb (16904847)Adnan Abu-Dayya (16904850)Flora D. Salim (16799313)EngineeringCommunications engineeringElectronics, sensors and digital hardwareInformation and computing sciencesDistributed computing and systems softwareDronesSensorsPrivacyAutonomous aerial vehiclesSensor phenomena and characterizationWireless sensor networksWireless communicationUnmanned aerial vehiclesDrone detectionRadioRadarSecurityVisual<p dir="ltr">The market size of civilian drones is tremendously increasing and is expected to reach 1.66 million by the end of 2023. The increase in number of civilian drones poses several privacy and security threats. To safeguard critical assets and infrastructure and to protect privacy of people from the illegitimate uses of commercial drones, a drone detection system is inevitable. In particular, there is a need for a drone detection system that is efficient, accurate, robust, cost-effective and scalable. Recognizing the importance of the problem, several drone detection approaches have been proposed over time. However, none of these provides sufficient performance due to the inherited limitations of the underlying detection technology. More specifically, there are trade-offs among various performance metrics e.g., accuracy, detection range, and robustness against environmental conditions etc. This motivates an in-depth study and critical analysis of the existing approaches, highlighting their potential benefits and limitations. In this paper, we provide a rigorous overview of the existing drone detection techniques and a critical review of the state-of-the-art. Based on the review, we provide key insights on the future drone detection systems. We believe these insights will provide researchers and practicing engineers a holistic view to understand the broader context of the drone detection problem.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Sensors Journal<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jsen.2022.3171293" target="_blank">https://dx.doi.org/10.1109/jsen.2022.3171293</a></p>2022-04-29T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/jsen.2022.3171293https://figshare.com/articles/journal_contribution/On_the_Detection_of_Unauthorized_Drones_Techniques_and_Future_Perspectives_A_Review/24056430CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240564302022-04-29T00:00:00Z |
| spellingShingle | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review Muhammad Asif Khan (7367468) Engineering Communications engineering Electronics, sensors and digital hardware Information and computing sciences Distributed computing and systems software Drones Sensors Privacy Autonomous aerial vehicles Sensor phenomena and characterization Wireless sensor networks Wireless communication Unmanned aerial vehicles Drone detection Radio Radar Security Visual |
| status_str | publishedVersion |
| title | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| title_full | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| title_fullStr | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| title_full_unstemmed | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| title_short | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| title_sort | On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review |
| topic | Engineering Communications engineering Electronics, sensors and digital hardware Information and computing sciences Distributed computing and systems software Drones Sensors Privacy Autonomous aerial vehicles Sensor phenomena and characterization Wireless sensor networks Wireless communication Unmanned aerial vehicles Drone detection Radio Radar Security Visual |