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Vehicular ad-hoc network is an exciting study that aims to improve driver safety in driving. Vehicle-to-vehicle (V2V) is communications between vehicles that occurs on a VANET using wireless channels. This channel allows vehicles to share personal or safety information with other vehicles. Vehicle communication is potentially vulnerable to adversaries' security attacks that can harm the driver and other legitimate users. Therefore, it requires a high-security system. This research proposes a new scheme, namely the MAPI (Mike-Amang-Prima-Inka), as a modified secret key generation scheme obtained from received signal strength (RSS) values. Our research focuses on obtaining a symmetric key that has a high key formation speed (KFS) with a low-key discrepancy level (KDL), while still thinking about the randomness and ensure safety from passive attackers. In the pre-processing, we use a combination of Kalman Filter and Polynomial Regression by modifying the parameters to produce the best performance. We also modified the grey code in the Modified Multibit (MMB) Quantization method to reduce the quantization bit mismatch. Our approach to the MAPI scheme can assign symmetric keys with better performance than existing schemes, increasing KFS and decreasing KDL up to 100%. Moreover, the scheme can generate a symmetric key that deals with NIST's statistical tests. Keywords— vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.

international journal on advanced science, engineering and information technology/international journal of advanced science, engineering and information technology

MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS