Nowadays, with the widespread use of numerous sensors in vehicular data platforms/networks to enhance communication and support systems, a substantial amount of data is generated. The information gathered through this data is not secure, and it is necessary to apply security and privacy measures to vehicular data platforms/networks. This paper proposes the use of the ECC (Elliptic Curve Cryptography) method to achieve security and privacy. The large amount of vehicular data is divided into different types, such as live status data, vehicle details data, insurance data, maintenance data, etc. The proposed method categorizes this data into high-level, medium-level, and low-level categories to apply the appropriate cryptographic methods, thereby enhancing security and ensuring privacy for end-users. The ECC is implemented and analyzed on data of different sizes and compared its performance with a private key (symmetric) algorithm, DES (Data Encryption Standard), and AES (Advanced Encryption Standard), as well as the public-key (asymmetric) algorithm RSA (Rivest-Shamir-Adleman). The result shows that the use of ECC is effective and efficient for the security of vehicular data platforms/networks, compared with other traditional cryptographic algorithms.
Phatak et al. (Sun,) studied this question.