Securing Vehicle-to-Everything (V2X) Communication in AI-Empowered Electric Vehicles

Le résumé fourni par la source

Data in AI-Empowered Electric Vehicles is protected by using blockchain technology for immutable and verifiable transactions, in addition to high-strength encryption methods and digital signatures. This research paper compares and evaluates the security mechanisms for V2X communication in AI-enabled EVs. The purpose of the study is to ensure the reliability of security measures by evaluating performance metrics including false positive rate, false negative rate, detection accuracy, processing time, communication latency, computational resources, key generation time, and throughput. A comprehensive experimental approach is implemented using a diverse dataset gathered from actual V2X communication condition. The evaluation reveals that the security mechanisms perform inconsistently. Message integrity verification obtains the highest detection accuracy with a low false positive rate of 2% and a 0% false negative rate. Traffic encryption has a low processing time, requiring only 10 milliseconds for encryption and decryption, and adds only 5 bytes of communication latency to V2X messages. The detection accuracy of intrusion detection systems is adequate at 95%, but they require more computational resources, consuming 80% of the CPU and 150 MB of memory. In particular attack scenarios, certificate-based authentication and secure key exchange show promise. Certificate-based authentication mitigates MitM attacks with a false positive rate of 3% and a false negative rate of 1%. Secure key exchange thwarts replication attacks with a false positive rate of 0 and a false negative rate of 2. Nevertheless, their efficacy varies based on the attack scenario, highlighting the need for adaptive security mechanisms. The evaluated security mechanisms exhibit varying rates of throughput. Message integrity verification and traffic encryption accomplish high throughput, enabling 1 Mbps and 800 Kbps, respectively, of secure data transfer rates. Overall, the results contribute to the comprehension of V2X communication security challenges in AI-enabled EVs. Message integrity verification and traffic encryption have emerged as effective mechanisms that provide robust security with high performance. The study provides insight for designing secure and dependable V2X communication systems. Future research should concentrate on enhancing V2X communication's security mechanisms and exploring novel approaches to resolve emerging threats.

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