Title
Public key encryption with equality test for Industrial Internet of Things system in cloud computing
Abstract
Present day world have evolved from traditional environment to smart industries using IoT scheme which in turn forms Industrial Internet of Things (IIoT), which significantly elaborated by providing enhance integration using smart communication through IoT based sensors. IIoT has been providing cost reduction and enhancement in technology by bringing availability, flexibility and data sharing through real time scenario. Despite being unsecure environment of cloud, the privacy of data transfer and information confidentiality is guaranteed. In this context, this work presents a Public Key Encryption with Equality Test based on DLP with double decomposition problems over near-ring. Computation Diffie-Hellman is utilized in algebraic structure which involves DLP with Double Decomposition problem for proposing a Public Key Encryption with Equality Test which provides more security to the scheme. The proposed method is highly secure and it solves the problem of quantum algorithm attacks in IIoT systems. Further, the suggested system is significantly secure and it prevents the chosen-ciphertext attack in type-I rival and it is indistinguishable against the random oracle model for the type-II rival. The recommended scheme is highly secure and the security analysis measures are comparatively stronger than existing techniques. Search time of the proposed scheme is 150 milliseconds for which the number of attributes is 50 and when comparing to the decryption time of the proposed model which is lower when compared to other existing scheme for 50 attributes.
Year
DOI
Venue
2022
10.1002/ett.4202
TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES
DocType
Volume
Issue
Journal
33
4
ISSN
Citations 
PageRank 
2161-3915
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Ganesh Gopal Deverajan100.34
V. Muthukumaran200.34
Ching-Hsien Hsu31121125.53
Marimuthu Karuppiah400.68
Yeh-Ching Chung598397.16
Ying-Huei Chen600.34