z-logo
open-access-imgOpen Access
A Lightweight Authenticated Encryption Scheme Based on Chaotic SCML for Railway Cloud Service
Author(s) -
Qiming Zheng,
Xiaomin Wang,
Muhammad Khurram Khan,
Wenfang Zhang,
B. B. Gupta,
Wei Guo
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2775038
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
In recent years, intelligent railway operation and maintenance using cloud technology have received wide consideration for the provision of public transport services. Under the cloud environment, information security is critical to ensure the integrity of data through protection from unauthorized manipulation and the confidentiality through protection against the leakage of sensitive information. This paper proposes a lightweight authenticated encryption scheme with associated data based on a novel discrete chaotic S-box coupled map lattice (SCML), which avoids the dynamic degradation of the digital chaotic system and low efficiency of the chaos-based cryptosystem. Based on the chaotic SCML, an authenticated encryption scheme that protects the confidentiality and integrity in one pass is presented in detail. The security analysis and performance simulations in software and hardware show that the proposed scheme is efficient and provides adequate security through authentication and encryption. Such a scheme could be used for applications in a railway cloud service that requires moderate security and low-cost implementations.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom