The DOI matches its Crossref record; 155 of the 160 references it cites were found in a registry or an index.
Securing Vehicle-to-Everything (V2X) Communication Platforms
Open accessAbstract
Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network-forms the vehicle-to-everything (V2X) communication platforms. Despite benefits, V2X applications also face great challenges to security and privacy-a very valid concern since breaches are not uncommon in automotive communication networks and applications. In this survey, we provide an extensive overview of V2X ecosystem. We also review main security/privacy issues, current standardization activities and existing defense mechanisms proposed within the V2X domain. We then identified semantic gaps of existing security solutions and outline possible open issues.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Previous research has identified common V2X communication failures, including crowded channels, malicious attacks, hardware failures, and frequency errors [29,[79][80][81].”
From Vehicle-to-Everything Communication in Intelligent Connected Vehicles: A Survey and Taxonomy (2025) · cites this paper as [80]
Citations
Cites
Dedicated Short-Range Communications (DSRC) Standards in the United States
Kenney, J. B. (2011) · Proceedings of the IEEE · doi:10.1109/jproc.2011.2132790 · Cited by 2,447
Experimental Security Analysis of a Modern Automobile
Koscher, K., Czeskis, A., Roesner, F., Patel, S., Kohno, T., Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., et al. (2010) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2010.34 · Cited by 1,897
Securing vehicular ad hoc networks
Raya, M., & Hubaux, J. (2007) · Journal of Computer Security · doi:10.3233/jcs-2007-15103 · Cited by 1,740
Karagiannis, G., Altintas, O., Ekici, E., Heijenk, G., Jarupan, B., Lin, K., & Weil, T. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.061411.00019 · Cited by 1,559
(2011) · Cited by 1,423
Cyber-Physical Systems Security—A Survey
Humayed, A., Lin, J., Li, F., & Luo, B. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2703172 · Cited by 1,185 · cited 1×
“While in this paper our primary focus in on V2X technology, the novel security mechanisms developed for V2X applications can be used to improve the security of broader safety-critical cyber-physical domains [187], [188].”
BackgroundBrands, S. A., & Chaum, D. (2007) · Springer eBooks · doi:10.1007/3-540-48285-7_30 · Cited by 810
The security and privacy of smart vehicles
Hubaux, J., Capkun, S., & Luo, J. (2004) · IEEE Security & Privacy · doi:10.1109/msp.2004.26 · Cited by 800
An overview of 3GPP device-to-device proximity services
Lin, X., Andrews, J. G., Ghosh, A., & Ratasuk, R. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6807945 · Cited by 799
Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey
Abboud, K., Omar, H. A., & Zhuang, W. (2016) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2016.2591558 · Cited by 785
Research works printed but not linked: 19
- wasicek, 0, Context-aware intrusion detection in automotive control systems, Proc Embedded Secur Cars USA Conf, 21
- hoppe, 2009, Applying intrusion detection to automotive it-early insights and remaining challenges, J Int AIDS Soc, 4, 226
- 2016, IEEE standard for wireless access in vehicular environments–security services for applications and management messages, 1
- filippi, 2017, IEEE 802.11p ahead of LTE-V2V for safety applications, Autotalks NXP, 1
- hasrouny, 2017, VANet security challenges and solutions: A survey, Elsevier Vehicular Communications, 7, 7, 10.1016/j.vehcom.2017.01.002 · DOI · Paper page
- greenberg, 2015, Hackers remotely kill a jeep on the highway–with me in it, Wired, 7, 7?21
- petit, 2015, Remote attacks on automated vehicles sensors: Experiments on camera and LiDAR, Black Hat Europe'06, 11, 1?13
- turley, 2018, C-ITS: Three observations on LTE-V2X and ETSI ITS-G5–A comparison, White Paper NXP semiconductors, 1
- stumpf, 0, A security architecture for multipurpose ECUs in vehicles, Proc Joint VDI/VW Auto Sec Conf, 1
- groll, 0, OVERSEE - a secure and open communication and runtime platform for innovative automotive applications, Proc Embedded Security Cars, 1
- stotz, 2011, PRESERVE D1.1 security requirements of vehicle security architecture, PRESERVE Consortium Deliverable, 1, 1
- glas, 0, Signal-based automotive communication security and its interplay with safety requirements, Proceedings of the 9th Emb Sec in Cars Conf, 1
- 2016, IEEE standard for wireless access in vehicular environments–security services for applications and management messages, 1
- liu, 0, Limits on revocation in VANTEs, Proc Int Conf Appl Cryptography Netw Secur, 38
- leinmüller, 0, Greedy routing in highway scenarios: The impact of position faking nodes, Proc Workshop Intell Transp, 1
- miller, 2014, A survey of remote automotive attack surfaces, Black Hat USA, 2014, 1?94
- lee, 2013, A DTSA (detection technique against a Sybil attack) protocol using SKC (session key based certificate) on VANET, Int J Secur Appl, 7, 1
- schmidt, 0, Vehicle behavior analysis to enhance security in VANETs, Proc IEEE V2VCOM, 1
- 2010, IEEE standard for information technology– local and metropolitan area networks– specific requirements– part 11, 1
Cited by
Sorted by citations
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
Nguyen, V.-L., Lin, P.-C., Cheng, B.-C., Hwang, R.-H., & Lin, Y.-D. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3108618 · Cited by 515
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
Li, Y., Ma, D., An, Z., Wang, Z., Zhong, Y., Chen, S., & Feng, C. (2022) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2022.3192802 · Cited by 381
Ju, Z., Zhang, H., Li, X., Chen, X., Han, J., & Yang, M. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3186897 · Cited by 218
Towards 6G-Enabled Internet of Vehicles: Security and Privacy
Osorio, D. P. M., Ahmad, I., Sánchez, J. D. V., Gurtov, A., Scholliers, J., Kutila, M., & Porambage, P. (2022) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2022.3143098 · Cited by 185
Hu, Z., Lou, S., Xing, Y., Wang, X., Cao, D., & Lv, C. (2022) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2022.3195635 · Cited by 189
Metadata
- Authors
- Hasan, M., Mohan, S., Shimizu, T., & Lu, H.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Toyota Motor North America (United States) (US)
- Venue
- IEEE Transactions on Intelligent Vehicles
- Published
- 2020-12
- Volume
- 5
- Issue
- 4
- Pages
- 693-713
- ISSN
- 2379-8858 (ISSN-L)
- 2379-8904
- OpenAlex
- W3016409148
- Cited by
- 275
- References
- 160
- Citations by year
- 2026: 40 · 2025: 54 · 2024: 62 · 2023: 60 · 2022: 35 · 2021: 19 · 2020: 5
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- IEEE Transactions on Intelligent Vehicles (publishedVersion, cc-by)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (NSF SaTC 1718952)
- R&D InfoTech Labs
- Toyota Motor North America, Inc. Any findings
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Vehicular Ad Hoc Networks (VANETs)
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Keywords
- vehicle-to-everything communication, V2X security, privacy, vehicular networks, automotive communication networks, security standardization, defense mechanisms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
