Lattice-Based Semantic-Aware Searchable Encryption for Internet of Things
Yingying Hou, Wenbin Yao, Xiaoyong Li, Yamei Xia, Mingqing Wang · IEEE Internet of Things Journal · 2024
The vigorous development of the Internet of Things (IoT) has generated a massive amount of personal data. How to better protect and use the privacy data of IoT has become the primary problem to be solved today. In this paper, we design a semantic-aware post-quantum searchable encryption scheme to make the use of IoT data more intelligent and secure. Firstly, the topic model and homomorphic encryption technology were used to make the retrieval query expression of ciphertext stronger and the retrieval ability more complete. Secondly, the proxy re-encryption technology was used to make the scheme achieve effective retrieval in the multi-user environment of IoT, so that each user had independent retrieval rights to ensure that there was no possibility of privacy leakage between users. At the same time, to maintain data privacy in all aspects of IoT communication, a simple homomorphic encryption OT protocol was proposed, which provides a secure channel for the user to interact with the topic management server. Finally, the complete scheme construction is based on lattice cryptography, which has proven to be resistant to quantum attacks and has stronger security.