Protecting Self-Driving Vehicles from attack threats
Govindarajan Lakshmikanthan, Sreejith Sreekandan Nair · International Journal of Emerging Research in Engineering and Technology · 2024
This paper proposes a novel approach to secure autonomous vehicles from replay attacks by introducing the concept of self-validating nonces. While traditional security methods rely on timestamps or sequence numbers which can be compromised, we present a more robust alternative using cryptographic values that inherently validate their own freshness and uniqueness. Self-validating nonces are cryptographically linked to a vehicle's contextual data, such as geolocation coordinates or sensor readings, making message interception and replay significantly more difficult. The paper explores mechanisms for generating and validating these nonces within the constraints of Vehicle-to-Everything (V2X) communication environments. Performance evaluations demonstrate that our approach provides enhanced security with manageable computational overhead. Further research directions are identified to optimize implementation strategies and ensure effective integration with existing security frameworks