research-article

Semi-Decentralized Model for Drone Collaboration on Secure Measurement of Positions

Authors:

Abdelkader Laouid,

Ahcene Bounceur,

Mohammad Hammoudeh,

Muath Alshaikh,

Romaissa KebacheAuthors Info & Claims

ICFNDS '21: Proceedings of the 5th International Conference on Future Networks and Distributed Systems

Pages 64 - 69

https://doi.org/10.1145/3508072.3508083

Published: 13 April 2022 Publication History

Abstract

The importance of drone use is increasing in all fields due to several characteristics and advantages they provide, such as saving lives, quality imaging, and being easily controllable. In addition, Unmanned Aerial Vehicle (UAV) prices are going to decrease, this has contributed greatly to an increase in demand for them. However, many challenges face the widespread use of UAVs. One of the most important challenges is his vulnerability to hacking. This paper presents a semi-decentralized collaboration model for the secure measurement of drone positions. The proposed model is based on choosing a leader for each specified period of time by a lightweight consensus algorithm. The leader gets his position using satellites, other drone team members are based on the leader’s safe position to find their locations in a way that is immune to GPS spoofing. Our proposal study shows the extent of the security level it provides against spoofing attacks.

References

[1]

Christian Bunse and Sebastian Plotz. 2018. Security analysis of drone communication protocols, In International Symposium on Engineering Secure Software and Systems. Engineering Secure Software and Systems 1, 96–107.

Digital Library

[2]

Mirmojtaba Gharibi, Raouf Boutaba, and Steven L Waslander. 2016. Internet of drones. IEEE Access 4(2016), 1148–1162.

[3]

Rajesh Gupta, Aparna Kumari, and Sudeep Tanwar. 2021. Fusion of blockchain and artificial intelligence for secure drone networking underlying 5G communications. Transactions on Emerging Telecommunications Technologies 32, 1(2021), e4176.

Digital Library

[4]

LIANG Heng, DANIEL B Work, and GRACE XINGXIN Gao. 2013. Cooperative GNSS authentication. Reliability from unreliable peers. Inside GNSS 8 (2013), 70–75.

[5]

Eric Horton and Prakash Ranganathan. 2018. Development of a GPS spoofing apparatus to attack a DJI Matrice 100 Quadcopter. The Journal of Global Positioning Systems 16, 1 (2018), 1–11.

[6]

Mostefa Kara, Abdelkader Laouid, Muath AlShaikh, Ahcène Bounceur, and Mohammad Hammoudeh. 2021. Secure Key Exchange Against Man-in-the-Middle Attack: Modified Diffie-Hellman Protocol. Jurnal Ilmiah Teknik Elektro Komputer dan Informatika 7, 3(2021), 380–387. http://journal.uad.ac.id/index.php/JITEKI/article/view/22210

[7]

Mostefa Kara, Abdelkader Laouid, Muath AlShaikh, Mohammad Hammoudeh, Ahcene Bounceur, Reinhardt Euler, Abdelfattah Amamra, and Brahim Laouid. 2021. A Compute and Wait in PoW (CW-PoW) Consensus Algorithm for Preserving Energy Consumption. Applied Sciences 11, 15 (2021), 6750.

[8]

Mostefa Kara, Abdelkader Laouid, Reinhardt Euler, Mohammed Amine Yagoub, Ahcene Bounceur, Mohammad Hammoudeh, and Saci Medileh. 2020. A Homomorphic Digit Fragmentation Encryption Scheme Based on the Polynomial Reconstruction Problem, In The 4th International Conference on Future Networks and Distributed Systems (ICFNDS). ACM Digital Library 1, 1–6.

[9]

Mostefa Kara, Abdelkader Laouid, Mohammed Amine Yagoub, Reinhardt Euler, Saci Medileh, Mohammad Hammoudeh, Amna Eleyan, and Ahcène Bounceur. 2021. A fully homomorphic encryption based on magic number fragmentation and El-Gamal encryption: Smart healthcare use case. Expert Systems 1(2021), 1–10.

[10]

Yongho Ko, Jiyoon Kim, Daniel Gerbi Duguma, Philip Virgil Astillo, Ilsun You, and Giovanni Pau. 2021. Drone Secure Communication Protocol for Future Sensitive Applications in Military Zone. Sensors 21, 6 (2021), 2057.

[11]

Qin Luo and Junfeng Wang. 2018. FRUDP: a reliable data transport protocol for aeronautical ad hoc networks. IEEE Journal on Selected Areas in Communications 36, 2(2018), 257–267.

[12]

Pericle Perazzo, Francesco Betti Sorbelli, Mauro Conti, Gianluca Dini, and Cristina M Pinotti. 2016. Drone path planning for secure positioning and secure position verification. IEEE Transactions on Mobile Computing 16, 9 (2016), 2478–2493.

Digital Library

[13]

Febby Ronaldo, Dadet Pramadihanto, and Amang Sudarsono. 2020. Secure Communication System of Drone Service using Hybrid Cryptography over 4G/LTE Network, In 2020 International Electronics Symposium (IES). IEEEXplore 1, 116–122.

[14]

Desmond Schmidt, Kenneth Radke, Seyit Camtepe, Ernest Foo, and Michał Ren. 2016. A survey and analysis of the GNSS spoofing threat and countermeasures. ACM Computing Surveys (CSUR) 48, 4 (2016), 1–31.

Digital Library

[15]

Seong-Hun Seo, Byung-Hyun Lee, Sung-Hyuck Im, and Gyu-In Jee. 2015. Effect of spoofing on unmanned aerial vehicle using counterfeited GPS signal. Journal of Positioning, Navigation, and Timing 4, 2 (2015), 57–65.

[16]

Abdulhadi Shoufan, Hassan AlNoon, and Joonsang Baek. 2015. Secure communication in civil drones, In International Conference on Information Systems Security and Privacy. Information Systems Security and Privacy 1, 177–195.

[17]

Junia Valente and Alvaro A Cardenas. 2017. Understanding security threats in consumer drones through the lens of the discovery quadcopter family, In Proceedings of the 2017 Workshop on Internet of Things Security and Privacy. ACM Digital Library 1, 31–36.

[18]

Ottilia Westerlund and Rameez Asif. 2019. Drone hacking with raspberry-pi 3 and wifi pineapple: Security and privacy threats for the internet-of-things, In 2019 1st International Conference on Unmanned Vehicle Systems-Oman (UVS). IEEEXplore 1, 1–10.

[19]

Daniel Wischounig-Strucl and Bernhard Rinner. 2015. Resource aware and incremental mosaics of wide areas from small-scale UAVs. Machine Vision and Applications 26, 7 (2015), 885–904.

Digital Library

[20]

Kexiong Curtis Zeng, Yuanchao Shu, Shinan Liu, Yanzhi Dou, and Yaling Yang. 2017. A practical GPS location spoofing attack in road navigation scenario, In Proceedings of the 18th international workshop on mobile computing systems and applications. ACM Digital Library 1, 85–90.

[21]

Tao Zhang and Quanyan Zhu. 2017. Strategic defense against deceptive civilian gps spoofing of unmanned aerial vehicles, In International Conference on Decision and Game Theory for Security. Decision and Game Theory for Security 1, 213–233.

Cited By

Cherfi SBoulaiche ALemouari A(2024)Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541183(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541183
Mukkath HAltaweel AKamel IAl Aghbari Z(2023)On Detecting GPS Spoofing Attack in Flying Ad-hoc Networks: A Comparative Study2023 Advances in Science and Engineering Technology International Conferences (ASET)10.1109/ASET56582.2023.10180508(1-6)Online publication date: 20-Feb-2023
https://doi.org/10.1109/ASET56582.2023.10180508
Chait KLaouid AKara MHammoudeh MAldabbas OAl-Essa A(2023)An Enhanced Threshold RSA-Based Aggregate Signature Scheme to Reduce Blockchain SizeIEEE Access10.1109/ACCESS.2023.332219611(110490-110501)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3322196
Show More Cited By

Recommendations

Towards a Better Understanding of Drone Forensics: A Case Study of Parrot AR Drone 2.0

Unmanned aerial vehicles (drones) have gained increased popularity as their innovative uses continue to expand across various fields. Despite their numerous beneficial uses, drones have unfortunately been misused, through many reported cases, to ...
Demonstration of wireless synchronisation methods in autonomously controlled fleet of drones

This paper describes methods used in synchronising the behaviour of multiple autonomous flight vehicles utilising custom external hardware and firmware injected into current aviation flight systems. To prove the reliability and consistency of an ...
Security Analysis of Drone Communication Protocols
Engineering Secure Software and Systems
Abstract
Unmanned aerial vehicles (UAV) are increasingly used by hobbyists, companies, and the public sector [1] for a number of purposes. Although this is good, UAVs bear the physical risks of aircrafts as well as those of unmanned systems. Taken into ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICFNDS '21: Proceedings of the 5th International Conference on Future Networks and Distributed Systems

December 2021

847 pages

ISBN:9781450387347

DOI:10.1145/3508072

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2022

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICFNDS 2021

ICFNDS 2021: The 5th International Conference on Future Networks & Distributed Systems

December 15 - 16, 2021

Dubai, United Arab Emirates

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
84
Total Downloads

Downloads (Last 12 months)40
Downloads (Last 6 weeks)0

Reflects downloads up to 27 Jul 2024

Other Metrics

View Author Metrics

Citations

Cited By

Cherfi SBoulaiche ALemouari A(2024)Enhancing IoT Security: A Deep Learning Approach with Autoencoder-DNN Intrusion Detection Model2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541183(1-7)Online publication date: 24-Apr-2024
https://doi.org/10.1109/PAIS62114.2024.10541183
Mukkath HAltaweel AKamel IAl Aghbari Z(2023)On Detecting GPS Spoofing Attack in Flying Ad-hoc Networks: A Comparative Study2023 Advances in Science and Engineering Technology International Conferences (ASET)10.1109/ASET56582.2023.10180508(1-6)Online publication date: 20-Feb-2023
https://doi.org/10.1109/ASET56582.2023.10180508
Chait KLaouid AKara MHammoudeh MAldabbas OAl-Essa A(2023)An Enhanced Threshold RSA-Based Aggregate Signature Scheme to Reduce Blockchain SizeIEEE Access10.1109/ACCESS.2023.332219611(110490-110501)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3322196
Altaweel AMukkath HKamel I(2023)GPS Spoofing Attacks in FANETs: A Systematic Literature ReviewIEEE Access10.1109/ACCESS.2023.328173111(55233-55280)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3281731

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents