Privacy-preserving communication in smart city transportation using elliptic curve cryptography

The integration of cyber-physical systems (CPS) with the Internet of Things (IoT) in smart city transportation systems presents promising opportunities, however poses challenges in data privacy and security. This paper proposes a novel approach to address these challenges by incorporating Elliptic Curve Cryptography (ECC) for heightened data security in CPS-IoT integrated transportation. ECC serves as a robust cryptographic solution, safeguarding data confidentiality and integrity during exchanges between IoT devices and infrastructure. Through an in-depth examination of privacy threats and vulnerabilities inherent in such systems, the paper highlights ECC's potential to mitigate risks. Furthermore, it explores the implementation of ECC-based encryption and decryption mechanisms to ensure secure communication and data exchange. Additionally, the paper discusses the adoption of Transport Layer Security (TLS) as a secure data communication protocol and enhancing the overall security and efficiency of CPS-IoT transportation systems. To validate the effectiveness of our framework, we compare it with an assumed framework that utilizes Differential Privacy method and SSL, highlighting the advantages of our approach in terms of security, efficiency, and practicality. By fostering a secure data environment, ECC and TLS contribute to informed decision-making, resource optimization, and the advancement of sustainable transportation infrastructure, thus fostering a circular economy.