Sybil Attack Detection Based on Signal Clustering in Vehicular Networks | IEEE Journals & Magazine | IEEE Xplore

Sybil Attack Detection Based on Signal Clustering in Vehicular Networks


Abstract:

With the growing adoption of vehicular networks, ensuring the security of these networks is becoming increasingly crucial. However, the broadcast nature of communication ...Show More

Abstract:

With the growing adoption of vehicular networks, ensuring the security of these networks is becoming increasingly crucial. However, the broadcast nature of communication in these networks creates numerous privacy and security concerns. In particular, the Sybil attack, where attackers can use multiple identities to disseminate false messages, cause service delays, or gain control of the network, poses a significant threat. To combat this attack, we propose a novel approach utilizing the channel state information (CSI) of vehicles. Our approach leverages the distinct spatio-temporal variations of CSI samples obtained in vehicular communication signals to detect these attacks. We conduct extensive real-world experiments using vehicle-to-everything (V2X) data, gathered from dedicated short-range communications (DSRC) in vehicular networks. Our results demonstrate a high detection rate of over 98% in the real-world experiments, showcasing the practicality and effectiveness of our method in realistic vehicular scenarios. Furthermore, we rigorously test our approach through advanced ray-tracing simulations in urban environments, which demonstrates high efficacy even in complex scenarios involving various vehicles. This makes our approach a valuable, hardware-independent solution for the V2X technologies at major intersections.
Page(s): 753 - 765
Date of Publication: 05 June 2024
Electronic ISSN: 2831-316X
Author image of Halit Bugra Tulay
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Halit Bugra Tulay (Member, IEEE) received the B.S. degree in electrical and electronics engineering from Hacettepe University, Turkey, in 2016. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, and machine learning.
Halit Bugra Tulay (Member, IEEE) received the B.S. degree in electrical and electronics engineering from Hacettepe University, Turkey, in 2016. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, and machine learning.View more
Author image of Can Emre Koksal
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Can Emre Koksal (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering and computer science from MIT in 1998 and 2002, respectively. Since 2006, he has been a Professor with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, information theory, and stochastic processes. He served as an Associat...Show More
Can Emre Koksal (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering and computer science from MIT in 1998 and 2002, respectively. Since 2006, he has been a Professor with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, information theory, and stochastic processes. He served as an Associat...View more

Author image of Halit Bugra Tulay
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Halit Bugra Tulay (Member, IEEE) received the B.S. degree in electrical and electronics engineering from Hacettepe University, Turkey, in 2016. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, and machine learning.
Halit Bugra Tulay (Member, IEEE) received the B.S. degree in electrical and electronics engineering from Hacettepe University, Turkey, in 2016. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, and machine learning.View more
Author image of Can Emre Koksal
Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Can Emre Koksal (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering and computer science from MIT in 1998 and 2002, respectively. Since 2006, he has been a Professor with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, information theory, and stochastic processes. He served as an Associate Editor for IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, and Computer Networks.
Can Emre Koksal (Senior Member, IEEE) received the M.S. and Ph.D. degrees in electrical engineering and computer science from MIT in 1998 and 2002, respectively. Since 2006, he has been a Professor with the Department of Electrical and Computer Engineering, The Ohio State University. His research interests include wireless communication, cybersecurity, information theory, and stochastic processes. He served as an Associate Editor for IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications, and Computer Networks.View more

References

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