An Anonymous Communication Scheme Between Nodes Based on Pseudonym and Bilinear Pairing in Big Data Environments

In recent years, Big data has attracted more and more attention. The strategic significance of big data technology is not to master huge data information, but to professionally process these meaningful data. The emergence of big data technology has made the Internet of Things a reality. Among them, wireless sensor networks (WSNs) have been widely used in military, medical and other fields. WSNs can be used to realize data collection, processing and transmission. However, in the process of message forwarding and data aggregation in WSNs, there are problems such as node’s real identity, key and data leakage. The adversary can use this information to disrupt communication and attack important nodes. In resource-constrained WSNs, we propose an anonymous communication scheme between nodes based on pseudonyms and bilinear pairing. Firstly, we use pseudonyms instead of real identities to receive and forward messages to achieve node anonymity. Secondly, based on bilinear mapping operation and hash-based message authentication code (HMAC), we achieved key agreement between nodes and verification of message integrity to protect data security. In addition, we propose the energy-based link direction selection protocol, which ensures that the message can reach the base station without passing too many nodes, thus saving network resources to a certain extent. The anonymous communication scheme between nodes based on pseudonyms and bilinear pairing ensures the anonymity, reliability and security of communication in WSNs, and ensures low overhead in storage, computation and communication.