A Provable Secure Session Key Distribution Protocol Based on NSSK for In-Vehicle CAN Network

Long Yin, Jian Xu (), Zihao Wang and Chen Wang
Additional contact information
Long Yin: Software College, Northeastern University, Shenyang 110167, China
Jian Xu: Software College, Northeastern University, Shenyang 110167, China
Zihao Wang: Software College, Northeastern University, Shenyang 110167, China
Chen Wang: Software College, Northeastern University, Shenyang 110167, China

Mathematics, 2022, vol. 10, issue 16, 1-20

Abstract: Many CAN-based session key sharing approaches are based on the group key scheme, which can easily lead advanced adversaries to infiltrate all ECUs (electronic control units) in the network if the sharing key is leaked. To address the above problem, we propose a provable secure session key distribution protocol based on the improved NSSK (Needham–Schroeder shared key) protocol for the in-vehicle CAN network. We applied the mechanisms of message authentication and digital signature to fix the defects of the original NSSK regarding its lack of resistance to the Denning–Sacco attack. Then, we analyzed the provable security of the proposed protocol on the random oracle model and verified the security goals of the protocol by using the simulation tools AVISPA and Tamarin Prover; the results reflect that the protocol met the security requirements for key distribution such as session key secrecy, injective agreement, and known key secrecy. Finally, we compared our new protocol with other key distribution protocols in CAN bus communication to evaluate the performance of the new protocol in actual scenarios. The result shows that the protocol is secure against many payload-based attacks and is practical for in-vehicle CAN networks.

Keywords: CAN security; security protocols; vehicle cybersecurity; the NSSK protocol (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/16/2903/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/16/2903/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:16:p:2903-:d:886926

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().