A Comprehensive Survey on Vehicular Communication Security

Authors

  • Tayssir Ismail CEDRIC Lab, Conservatoire National des Arts et Metiers, Paris, France
  • Haifa Touati Hatem Bettaher IResCoMath Research Lab, University of Gabes, Tunisia
  • Nasreddine Hajlaoui Unit of Scientific Research, Applied College, Qassim University, SA
  • Mohamed Hadded Abu Dhabi University, UAE
  • Paul Muhlethaler INRIA Paris, France
  • Samia Bouzefrane CEDRIC Lab, Conservatoire National des Arts et Metiers, Paris, France
  • Leila Azouz Saidane CRISTAL Lab, National School of Computer Science, University of Manouba, Tunisia

DOI:

https://doi.org/10.13052/jcsm2245-1439.1359

Keywords:

Vehicular networking, V2X technologies, Security threats, Intrusion detection, Misbehaviour detection

Abstract

Significant advancements in Cooperative and Autonomous Driving via Vehicle-to-everything (V2X) communications owe much to the rapid expansion and technological progress in vehicular communications, promising benefits like enhanced traffic flow and reduced energy consumption. However, this reliance on connected vehicles opens new security vulnerabilities.

This study provides a comprehensive overview of challenges in existing vehicular communications, with a specific focus on security attacks categorised by their impact on MAC, routing, and cross-layer levels. To ensure secure vehicular communication, we analyse existing solutions for both single and cross-layer attacks, evaluating their strengths and limitations from a security standpoint. Additionally, we innovate by addressing vulnerabilities across MAC, routing, and cross-layer interactions, offering practical insights and a unique approach to mitigating their combined impact. Our findings suggest that enhancements are needed for MAC layer security in TDMA protocols, and that routing protocols must be designed with better security features to manage high overheads and real-time requirements.

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Author Biographies

Tayssir Ismail, CEDRIC Lab, Conservatoire National des Arts et Metiers, Paris, France

Tayssir Ismail received a Master degree from the Faculty of science of Gabes (F.S.G), Tunisia, in 2019. She is currently pursuing the Ph.D. degree at Conservatoire national des arts et métiers (Cnam), Paris, and the National School of Computer Science (ENSI), Tunis. Alongside her Ph.D. studies, she worked as a teaching and research assistant (ATER) at CNAM, Paris, this year. Her research interests cover vehicular networks, security and machine learning.

Haifa Touati, Hatem Bettaher IResCoMath Research Lab, University of Gabes, Tunisia

Haifa Touati received her Ph.D. in Computer Science from the National School of Computer Science (ENSI-Tunisia) in 2011, and her HDR in 2021. She obtained her engineering and master’s degrees in networking from the same institution. She is currently an Associate Professor of Computer Science at the Faculty of Sciences of Gabes (FSG-Tunisia), where she was the supervisor of the Master’s degree program in Computer Science and Networking. Additionally, she serves as the Director of the IReSCoMath research laboratory. Her research interests include named data networking, vehicular communications, security, Machine Learning and blockchain technology.

Nasreddine Hajlaoui, Unit of Scientific Research, Applied College, Qassim University, SA

Nasreddine Hajlaoui received his engineer degree in Networks and Communications from the National School of Engineers of Gabes (Tunisia), in 2007 and research M.S. degree in telecommunications from Higher School of Communications of Tunis (Sup’Com) in 2009. He received his Ph.D. degree in Engineering Computer Systems from the University of Sfax, Tunisia, in 2016. He is currently working as assistant professor at Qassim University (KSA) and a member of Hatem Bettaher IResCoMath Lab. His research areas include wireless networking, cloud computing, security and analytical modeling.

Mohamed Hadded, Abu Dhabi University, UAE

Mohamed Hadded joins Abu Dhabi University as an assistant professor of cybersecurity engineering, in the College Engineering/CSIT Department. In 2016, he completed his Ph.D. in computer science Engineering at Telecom SudParis college in co-accreditation with Sorbonne University (Pierre and Marie Curie Campus). Prior to joining ADU, Dr. Hadded worked as a senior cybersecurity researcher for intelligent transportation systems at IRT SystemX Paris, France from 2021 to 2022. From 2018 to 2022, he also served as an adjunct assistant professor in the Department of Networks and Cybersecurity at Gustave Eiffel University (France). From 2018 to 2021, he worked as a cybersecurity research engineer at VEDECOM institute (Versailles, France). Before that, he worked as a postdoctoral research fellow at the national institute for research in digital science and technology (INRIA, France) from 2017 to 2018. From 2015 to 2017, he worked as a teaching and research assistant (ATER) at Paris 5 and Franche-Comté (UFC) universities. Since 2021, he serves as a Guest Editor on Wireless Communication Technologies in Intelligent Transport Systems at Electronics Journal and a TPC member at several international conferences and workshops on wireless and mobile networking, Telecommunication, and security.

Paul Muhlethaler, INRIA Paris, France

Paul Muhlethaler started at Inria (French National Research Institute in Computer Science) in 1988 where he is now a research director. His research topics focus on protocols for networks, with a speciality in wireless networks. He has worked extensively at ETSI and IETF for the HiPERLAN and OLSR standards. He was one of the authors of the first draft of the OLSR protocol in 1997 and co-author of OLSR v1 standard. He was the first researcher to carry out optimizations of CSMA protocols in Multihop Ad Hoc Networks, thereby highlighting the importance of such optimizations. With F. Baccelli and B. Blaszczyszyn, he designed a complete model of an Aloha multihop ad hoc network which led to the design of one of the first multihop ad hoc network offering a throughput scaling according the Gupta and Kumar’s famous law. In 2004, he received the prestigious ”Science and Defense” award for his work on Mobile Ad Hoc Networks. His current activity concerns models and performance evaluations especially in wireless and vehicular ad hoc networks. He has also started to study the use of Machine Learning in wireless networks.

Samia Bouzefrane, CEDRIC Lab, Conservatoire National des Arts et Metiers, Paris, France

Samia Bouzefrane received the Ph.D. degree in computer science from the University of Poitiers, France, in 1998. After four years at the University of Le Havre, France, she joined the CEDRIC Lab of Conservatoire National des Arts et Métiers (Cnam), Paris, in 2002. She is currently Professor in Cnam. She is the coauthor of many books (Operating Systems, Smart Cards, and Identity Management Systems). She has coauthored more than 120 technical articles. Her current research interests include the Internet of Things, vehicular networks, and security using AI techniques. Since 2019, she has been partly delegated to the French Ministry of Higher Education and Research.

Leila Azouz Saidane, CRISTAL Lab, National School of Computer Science, University of Manouba, Tunisia

Leila Azouz Saidane is Professor at the National School of Computer Science (ENSI) and the director of CRISTAL research laboratory (Center of Research in Network and System Architecture, Multimedia and Image Processing), at the University of Manouba, in Tunisia. She is the vice-president of TRINET association. She is engineer and has obtained her PhD and her “doctorat d’état” at the faculty of science of Tunis within the cooperation between this institution, ENSI and INRIA (Institut National de Recherche en Informatique et en Automatisme) in France. She was the Director of ENSI, the Chairperson of the PhD and Habilitation Commission and the supervisor of the Master’s Degree program in Networks and Multimedia Systems at ENSI. She was director of department at ENSI and a member of the university council of Manouba. She collaborated on several international projects and supervised several PhDs and masters. She is author and co-author of several papers in refereed journals and international conferences. Research areas: Analytical study of network performance, Probabilistic quality of service in networks, Wireless sensor networks: access methods, routing, energy saving, preventive maintenance, redeployment, scaling up, real-time application, Content-oriented networks, Vehicular networks, WBAN , Smart homes, IoT, Cloud computing.

References

Van der Heijden R. W. et al. “Survey on misbehavior detection in cooperative intelligent transportation systems.” IEEE Communications Surveys & Tutorials 21, 779–811, 2018.

Sharma, Sparsh, and Ajay Kaul. “A survey on Intrusion Detection Systems and Honeypot based proactive security mechanisms in VANETs and VANET Cloud.” Vehicular communications 12, 138–164, 2018.

Lu, Zhaojun, Gang Qu, and Zhenglin Liu. “A survey on recent advances in vehicular network security, trust, and privacy.” IEEE Trans. on Intelligent Transportation Systems 20, 760–776, 2018.

Tong W., et al. “Artificial intelligence for vehicle-to-everything: A survey.” IEEE Access, 10823–10843, 2019.

Kelarestaghi K. B., et al. “Survey on vehicular ad hoc networks and its access technologies security vulnerabilities and countermeasures” arXiv preprint, 2019.

Hussain R., Jooyoung L., Sherali Z. “Trust in VANET: A survey of current solutions and future research opportunities.” IEEE Trans. on Intelligent Transportation Systems, 2020.

Lamssaggad A., Nabil B., Abdelhakim H., Mounira M. “A survey on the current security landscape of intelligent transportation systems.” IEEE Access, 2021.

Karabulut M. A., Shah AFM S., Haci I., Al-Sakib K. P., Atiquzzaman M. “Inspecting VANET with Various Critical Aspects–A Systematic Review.” Ad Hoc Networks, 2023.

Li Z., Weidong F., Chunsheng Z., Zhiwei G., Wuxiong Z. “AI-enabled Trust in Distributed Networks.” IEEE Access, 2023.

Sangwan A., Anju S., Rishi P. S. “A classification of misbehavior detection schemes for VANETs: a survey.” Wireless Personal Comm. 129, 285–322, 2023.

Ismail, Tayssir, Haifa Touati, Nasreddine Hajlaoui, Mohamed Hadded, Paul Muhlethaler, Samia Bouzefrane, and Leila Azouz Saidane. “Impact analysis of greedy behavior attacks in vehicular ad hoc networks.” In 2021 10th IFIP International Conference on Performance Evaluation and Modeling in Wireless and Wired Networks (PEMWN), pp. 1–6. IEEE, 2021.

Mejri, M. N., Ben-Othman, J. “Detecting greedy behavior by linear regression and watchdog in vehicular ad hoc networks.”, IEEE Global Comm. Conf., 2014.

Mejri, M. N., Ben-Othman, J. “GDVAN: a new greedy behavior attack detection algorithm for VANETs.”, IEEE Trans. on Mobile Computing, 759–771, 2016.

Al-Terri D. et al. “Cooperative based tit-for-tat strategies to retaliate against greedy behavior in VANETs.” Computer Communications 104, 108–118, 2017.

Abuzainab N., Erpek T., Davaslioglu K., Sagduyu Y.E., Shi Y., Mackey S.J., Yener A. QoS and jamming-aware wireless networking using deep reinforcement learning. IEEE Military Communications Conf. (MILCOM), 610–615, 2019.

Almomani I., Mohanned A., Dimitrios K., Aala A., Leandros M. “An Efficient Localization and Avoidance Method of Jammers in Vehicular Ad Hoc Networks.” IEEE Access, 2022.

Guleria C., Harsh K. V. “Improved Detection and Mitigation of DDoS Attack in Vehicular ad hoc Network.” 4th Int. Conf. on Computing Communication and Automation (ICCCA), 2018.

Valentini E. P., Rodolfo I. M., Adil A. “An attacks detection mechanism for intelligent transport system.” IEEE Int. Conf. on Big Data, 2453–2461, 2020.

Valentini E. P., Geraldo P. R. F., Robson E. D. G., Caetano M. R., Lourenço A. P., Rodolfo I. M. “A Novel Mechanism for Misbehaviour Detection in Vehicular Networks.” IEEE Access, 2023.

Mostefa F. Z., Zoulikha M. M., Claude D. “Secure Communications by Tit-for-Tat Strategy in Vehicular Networks.” Int. J. Networked Distributed Comput. 8, 214–221, 2020.

Malik A., Muhammad Z. K., Mohammad F., Faheem K., Jung-Taek S. “An efficient dynamic solution for the detection and prevention of black hole attack in vanets.” Sensors, 2022.

Lakshmi S., Anita E.M., Jenefa J. A hybrid approach against black hole attackers using dynamic threshold value and node credibility. IEEE Access, 2023.

Sarker O., Hong S., Babar M.A. Reinforcement Learning Based Neighbour Selection for VANET with Adaptive Trust Management. arXiv preprint, 2023.

Baccari S., Hadded M., Touati H., Muhlethaler P. A secure trust-aware cross-layer routing protocol for Vehicular Ad hoc Networks. Jour. of Cyber Sec. and Mobility, 2020.

Quevedo A.M.B.C, Carlos H.O.O.Q., Gomes R. L. , Camara S. F., Celestino J. “A Reputation and Security Mechanism for Heterogeneous Vehicular Networks.” IEEE Symp. on Computers and Comm. (ISCC), 1–6, 2022.

Mianji, E. M., Gabriel-Miro M., Irina T. “Trustworthy Routing in VANET: A Q-learning Approach to Protect Against Black Hole and Gray Hole Attacks.” 97th IEEE Vehicular Technology Conf. (VTC), 1–6, 2023.

Kaur G., Meenu K., Amandeep K. “VANET Cluster Based Gray Hole Attack Detection and Prevention.” SN Computer Science 5, 1, 2024.

Albouq S. S., Erik M. F. “Detection and avoidance of wormhole attacks in connected vehicles.” 6th ACM Symp. on Development and Analysis of Intelligent Vehicular Networks and Applications, 107–116, 2017.

Kanumalli S.S., Anuradha C., Murty P.S.R.C. “Isolation of wormhole attackers in IOV using WPWP packet” Revue d’Intelligence Artificielle, 9–13, 2019.

Ali S., Parma N., Shailesh T. “Impact of wormhole attack on AODV routing protocol in vehicular ad-hoc network over real map with detection and prevention approach” Int. Jour. of Vehicle Inf. and Comm. Sys. 5, 354–373,2020.

Fotohi R., Yaser E., Mohammad S. G. “A new approach for improvement security against DoS attacks in vehicular ad-hoc network.” arXiv preprint, 2020.

Tosunoglu B. A., Cemal K. “FA-AODV: flooding attacks detection based ad hoc on-demand distance vector routing protocol for VANET.” Sakarya University Jour. of Computer and Inf. Sciences 5, 304–314, 2022.

Keshari N., Dinesh S., Ashish K.M. “DoSRT: A Denial-of-Service Resistant Trust Model for VANET” Cybernetics and Inf. Technologies, 165–180, 2023.

Subba B., Santosh B., Sushanta K.”A game theory based multi layered intrusion detection framework for VANET” Future Gen. Comp. Sys. 12–28, 2018.

Baiad, R., Otrok, H., Muhaidat, S., & Bentahar, J. Cooperative cross layer detection for blackhole attack in VANET-OLSR. In Int. Wireless Communications and Mobile Computing Conf. (IWCMC), 863–868, 2014.

Baiad R. et al. “Novel cross layer detection schemes to detect blackhole attack against QoS-OLSR protocol in VANET” Vehicular Communications 9–17, 2016.

Shurman M. M., et al. “An Enhanced Cross-Layer Approach Based on Fuzzy-Logic for Securing Wireless Ad-Hoc Networks from Black Hole Attacks.”, 2017.

Rabiaa N., Ali C. M., Boukli H. S. “A Cross-layer Method for Identifying and Isolating the Blackhole Nodes in Vehicular Ad-hoc Networks.” Info. Sec. Jour.: A Global Perspective 32, 212–226, 2023.

Ansari A., Mohammed W. “Flooding attack detection and prevention in MANET based on cross layer link quality assessment.” Int. Conf. on Intelligent Computing and Control Systems (ICICCS), 612–617, 2017.

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Published

2024-09-03

How to Cite

1.
Ismail T, Touati H, Hajlaoui N, Hadded M, Muhlethaler P, Bouzefrane S, Saidane LA. A Comprehensive Survey on Vehicular Communication Security. JCSANDM [Internet]. 2024 Sep. 3 [cited 2024 Nov. 17];13(05):1007-38. Available from: https://journals.riverpublishers.com/index.php/JCSANDM/article/view/25343

Issue

2024: Vol 13 Iss 5

Section

Articles

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