Artificial Intelligence based Security Solution for Data Encryption using AES Algorithm

The Internet of Things (IoT) has a significant impact on the transportation industry. Autonomous vehicles (AVs) were created to make daily activities easier by hauling goods, distributing packages, and easing traffic. The AVs had a wide range of uses and comprised land vehicles, aerial vehicles, and maritime vehicles. The Cyber Security (CS) enabled data transfer autonomous driving was set up by them to facilitate the solution of this challenge. A network acts as the mediator, downloading data of the transmitter to the autonomous car. For additional safety, the CS -based method Advanced Encryption Standard (AES) is involved to decrypt the data, which is transferable to cypher text. The encryption content could be deciphered by the secret key which is given by the transmitter to the peculiar AV. Customized particle swarm efficiency would be used to modify a conventional neural network. The researchers proposed product’s final stage should be to decrypt the document using dual encryption technology. After the dual cryptography, steganography techniques are used to improve the retention safety of the proposed solution. Their proposed approach was implemented in the Java work area using Internet simulation.