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

Area of Science:

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• Smart City Transportation

Background:

• Integration of CPS and IoT in smart city transportation offers opportunities but faces data privacy and security challenges.
• Existing systems are vulnerable to privacy threats and security breaches.
• Need for robust security measures to protect data integrity and confidentiality.

Purpose of the Study:

• To propose a novel approach using Elliptic Curve Cryptography (ECC) for enhanced data security in CPS-IoT integrated transportation.
• To examine privacy threats and vulnerabilities in CPS-IoT systems.
• To ensure secure communication and data exchange in smart city transportation.

Main Methods:

• Incorporation of Elliptic Curve Cryptography (ECC) for data security.
• Implementation of ECC-based encryption and decryption mechanisms.
• Adoption of Transport Layer Security (TLS) as a secure data communication protocol.
• Comparison with a framework using Differential Privacy and SSL.

Main Results:

• ECC provides robust data confidentiality and integrity for IoT devices and infrastructure.
• ECC and TLS mitigate privacy risks and enhance overall system security and efficiency.
• The proposed ECC and TLS framework demonstrates advantages over Differential Privacy and SSL in security, efficiency, and practicality.

Conclusions:

• The ECC and TLS framework fosters a secure data environment for smart city transportation.
• This approach supports informed decision-making and resource optimization.
• Contributes to the advancement of sustainable transportation infrastructure and the circular economy.