@Article{jcs.2021.017217,
AUTHOR = {Chungen Xu, Lin Mei, Jinxue Cheng, Yu Zhao, Cong Zuo},
TITLE = {IoT Services: Realizing Private Real-Time Detection via Authenticated  Conjunctive Searchable Encryption},
JOURNAL = {Journal of Cyber Security},
VOLUME = {3},
YEAR = {2021},
NUMBER = {1},
PAGES = {55--67},
URL = {http://www.techscience.com/JCS/v3n1/42439},
ISSN = {2579-0064},
ABSTRACT = {With the rapid development of wireless communication technology, 
the Internet of Things is playing an increasingly important role in our everyday. 
The 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 areas. Uploading data to the cloud solves the problem 
of data overhead but results in privacy issues. Therefore, the question of how to 
manage the privacy of uploading data and make it available to be interconnected 
between devices is a crucial issue. In 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 
tokens. Through authentication technology, connected devices can both 
authenticate each other’s identity and prevent malicious adversaries from 
interfering with device interconnection. Finally, we prove that our scheme can 
resist inside keyword guessing attack through rigorous security reduction. The 
experiment shows that the efficiency of RA-CKD is good enough to be practical.},
DOI = {10.32604/jcs.2021.017217}
}