An efficient secure data transmission and node authentication scheme for wireless sensing networks?

With the development of big data era, wireless sensor networks (WSNs) are widely used. However, the wireless sensing network has the disadvantages that it is difficult to monitor after deployment and the node energy after deployment cannot be supplemented. Therefore, this paper proposes an efficient and high-performance data acquisition scheme, and realizes the authentication of effective nodes and the confidentiality of data transmission. Firstly, the sensing node uses compressed sensing sampling network (CSSN) to complete high-performance data collection, and applies deep learning to wireless sensing network data collection. Secondly, the lightweight hash algorithm is applied to process the ID and timestamp time of each node to realize the identification and authentication of the sink node, and avoid the replay attack. Finally, the Paillier additive homomorphic encryption is used to encrypt the signed data to realize the confidential transmission of data. At the same time, this scheme evaluates the reputation of each sense node and deletes the damaged nodes invaded by attackers from the network. Taking image information acquisition as an example, a large number of experiments have proved the feasibility and applicability of this scheme.