Physical Features Based Authentication Technique and Key Management for IoT Networks

Internet of things (IoT) is an incipient technology that concentrates on connecting various things or devices to each other. In IoT, user lightweight authentication has become an important issue that is limited in time. Existing authentication techniques increase the data exchange overhead and reduce the network scalability. This paper proposes physical features based key management and authentication technique (PFKMA) for IoT networks. The public key is derived using the best attributes gathered from network traffic data in this methodology. A tag will be created by the trusted third party (TTP) using these features to derive a public key. The overall trust value of each device, which is obtained from the behavior and data trust values, is treated as a distinct characteristic and utilized to generate the private key. When the authenticator gets the requester's tag, message, and signature, the tag is checked for validity first, and then the signature is verified with the tag and the received message. By experimental results, we show that the PFKMA reduces the overhead and enhances the scalability.