A secured IoT-based intelligent transport system (IoT-ITS) framework based on cognitive science

As intelligent transport systems (ITS) is the advanced format of Vehicle Ad-hoc Network (VANET), it provides extended support in all the traffic management processes. Afterward, the salient features of the Internet of Things (IoT) are incorporated with ITS. IoT-ITS ensures automated mobility as connected and cooperative. However, the development of IoT-ITS is restricted by the risk factors related to data security and privacy. To overcome such issues, a secured IoT-ITS framework is proposed to use cognitive science. A detailed study is carried out regarding the risks related to the IoT-ITS environment. The main objectives of this security framework are to resolve the security demands of the Intelligent Transport Systems and resolve the associated risk factors without compromise. Cognitive science is utilized to design the security framework that differentiates the legitimate users of the transport system from malicious users. Data analysis is also performed in real-time with the help of cognitive science. Based on the experiment results, better results are attained.