Internet of things based hybrid cryptography for process data security
Abstract
This manuscript addresses security issues, security mechanisms of Internet of Things (IoT) and implementation of hybrid cryptography for preserving the process information against unauthorized access and modification. Modern industrial devices use smart sensors, intelligent controllers, smart transmitters and wireless networks for process monitoring and control applications. The industrial networks are integrated with the information technology (IT) networks, which allow the process monitoring through the internet. Various software algorithms are available for data security, but hackers break the security and corrupt the industrial data. The corrupted data alter the industrial process activity. It is essential to have security algorithms with hardware to protect the data. In this proposed work, a novel hybrid secured wireless algorithm is developed and implemented in real-time using an embedded system. This proposed security algorithm uses 128-bit encryption and decryption as well as hash value generation along with an embedded system, which becomes transceiver for the industrial wireless network. This proposed security algorithm enables alerts and assures the security for monitoring of industrial processes through the internet.
Copyright © 2020 J.S. Prasath, U. Ramachandraiah, S. Prabhuraj, G. Muthukumaran. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
J. S. Prasath, U. Ramachandraiah, S. Prabhuraj, G. Muthukumaran, Internet of things based hybrid cryptography for process data security, J. Math. Comput. Sci. 10 (2020), 2208–2232. https://doi.org/10.28919/jmcs/4825
BibTeX
@article{Prasath2020,
author = {Prasath, J.S. and Ramachandraiah, U. and Prabhuraj, S. and Muthukumaran, G.},
title = {Internet of things based hybrid cryptography for process data security},
journal = {J. Math. Comput. Sci.},
volume = {10},
year = {2020},
pages = {2208--2232},
doi = {10.28919/jmcs/4825}
}