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A secure data transmission protocol for cloud‐assisted edge‐Internet of Things environment
Author(s) -
Kumar Manoj,
Kumar Verma Harsh,
Sikka Geeta
Publication year - 2020
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.3883
Subject(s) - computer science , random oracle , cloud computing , computer security , cryptography , data transmission , confidentiality , modular exponentiation , enhanced data rates for gsm evolution , public key cryptography , cryptographic protocol , encryption , computer network , telecommunications , operating system
Cloud‐edge (CE) is revolutionizing our modern world with a greater user experience through the Internet of Things (IoT). However, the edge devices, communication bridge between the cloud and users, are repeatedly exhibiting many security flaws which will inevitably lead to massive cyber attacks. Thus, providing a proper security, specifically, the confidentiality and authenticity of sensitive data become a prime focus for many of the researchers. In cryptography, certificateless signcryption (CLSC) is one of the recent public key techniques that meets the requirements of confidentiality and authenticity of sensitive data between parties with minimal overhead. This paper aims to present a new data sharing protocol where the safety of data is achieved through a new CLSC scheme. The proposed CLSC is designed using the bilinear pairing and modular exponentiation operations. Besides, the CLSC is secure based on the intractability of Diffie‐Hellman inversion (DHI) and bilinear‐DHI assumptions without considering the random oracle model (ROM). Performance assessment of proposed CLSC gives satisfactory results after comparing with other related CLSC schemes. Therefore, proposed CLSC can be installed in the cloud‐based edge‐IoT environment where both the authenticity and confidentiality with minimal computational overhead are the essential factors.