Biblio

A neural key exchange is a secret key exchange technique based on neural synchronization of the neural network. Since the neural key exchange is based on synchronizing weights within the neural network structure, the security of the algorithm does not depend on the attacker's computational capabilities. However, due to the neural key exchange's repetitive mutual-learning processes, using explicit user authentication methods -such as a public key certificate- is inefficient due to high communication overhead. Implicit authentication based on information that only authorized users know can significantly reduce overhead in communications. However, there was a lack of realistic methods to distribute secret information for authentication among authorized users. In this paper, we propose the concept idea of distributing shared secret values for implicit authentication based on the randomness of the public blockchain. Moreover, we present a method to prevent the unintentional disclosure of shared secret values to third parties in the network due to the transparency of the blockchain.

The Internet of things (IoT) has experienced rapid development these years, while its security and privacy remains a major challenge. One of the main security goals for the IoT is to build secure and authenticated channels between IoT nodes. A common way widely used to achieve this goal is using authenticated key exchange protocol. However, with the increasing progress of quantum computation, most authenticated key exchange protocols nowadays are threatened by the rise of quantum computers. In this study, we address this problem by using ring-SIS based KEM and hash function to construct an authenticated key exchange scheme so that we base the scheme on lattice based hard problems believed to be secure even with quantum attacks. We also prove the security of universal composability of our scheme. The scheme hence can keep security while runs in complicated environment.