IoT Services:Realizing Private Real-Time Detection via Authenticated Conjunctive Searchable Encryption

作     者：Chungen Xu Lin Mei Jinxue Cheng Yu Zhao Cong Zuo 

作者机构：School of ScienceNanjing University of Science and TechnologyNanjing210094China China Mobile(Hangzhou)Information Technology Co.Ltd.Hangzhou310011China Faculty of Information TechnologyMonash UniversityClayton3168Australia 

出 版 物：《Journal of Cyber Security》 (网络安全杂志（英文）)

年 卷 期：2021年第3卷第1期

页      面：55-67页

基　　金：This work is supported by the National Natural Science Foundation of China(No.62072240) the National Key Research and Development Program of China(No.2020YFB1804604) 

主　　题：Searchable encryption conjunctive keyword search Internet of Things authentication 

摘      要：With the rapid development of wireless communication technology,the Internet of Things is playing an increasingly important role in our *** amount of data generated by sensor devices is increasing as a large number of connectable devices are deployed in many fields,including the medical,agricultural,and industrial *** data to the cloud solves the problem of data overhead but results in privacy ***,the question of how to manage the privacy of uploading data and make it available to be interconnected between devices is a crucial *** this paper,we propose a scheme that supports real-time authentication with conjunctive keyword detection(RA-CKD),this scheme can realize the interconnection of encrypted data between devices while ensuring some measure of privacy for both encrypted data and detection *** authentication technology,connected devices can both authenticate each other’s identity and prevent malicious adversaries from interfering with device ***,we prove that our scheme can resist inside keyword guessing attack through rigorous security *** experiment shows that the efficiency of RA-CKD is good enough to be practical.