Accelerating Imperceptible Attack Detection in Smart Transportation: A Parallel Computing Approach

Intelligent transportation systems can improve the security, reliability and efficiency of urban transportation networks by using advanced technologies. These systems rely heavily on digital infrastructure as they are vulnerable to many types of cyberattacks. Including imperceptible cyberattacks which are a type of cyberattacks that occur periodically and are difficult to detect with traditional methods. The aim of this paper is to develop and apply advanced techniques to identify imperceptible cyberattacks using parallel computing. The objective is to improve the accuracy and efficiency of detection algorithms using parallel computing and to develop a robust framework capable of detecting and mitigating threats from undetected cyberattacks to the security and integrity of smart transportation systems.