2022 MAY 31 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Policy and Law Daily -- Investigators discuss new findings in Information Technology - Information and Data Encoding and Encryption. According to news reporting originating in Uttarakhand, India, by NewsRx journalists, research stated, “Supervisory control and data acquisition (SCADA) systems continuously monitor the real-time processes in the smart grid. The system software, which is based on a human-machine interface (HMI), makes intelligent decisions to assist the system operator and perform normal grid management activities.”
The news reporters obtained a quote from the research from Uttarakhand Technical University, “The management of SCADA networks and monitoring without proper security is a major concern, as many grids and plant networks still lack necessary monitoring and detection systems, making them vulnerable to attack. SCADA networks exploit physical weaknesses as well as cyber-attacks. Researchers have developed a monitoring system based on a field-programmable gate array (FPGA) and a microcontroller that allows for faster timing and system response. The cryptography-based substitution box (S-box) Advanced Encryption Standard (AES) and decryption method were proposed in the research paper, which may be merged with smart grid communication hardware and grid distribution as an integrated chip, synthesized on FPGA-Virtex-5 hardware. The method creates a platform for grid security by implementing a cryptographic-based security algorithm in hardware chips. The algorithm was designed using VHDL coding in Xilinx ISE 14.7 software and tested with various grid data sizes and key.”
According to the news reporters, the research concluded: “The research represents a significant effort on the part of the businesses looking for solutions to secure the smart grid and plants by incorporating secure hardware.”
This research has been peer-reviewed.
For more information on this research see: Smart Grid Security By Embedding S-box Advanced Encryption Standard. Intelligent Automation & Soft Computing, 2022;34(1):623-638. Intelligent Automation & Soft Computing can be contacted at: Tech Science Press, 871 Coronado Center Dr, Sute 200, Henderson, NV 89052, USA.
Our news correspondents report that additional information may be obtained by contacting Niraj Kumar, Uttarakhand Technical University, Dept. of Electrical and Communication Engineering, Dehra Dun, Uttarakhand, India. Additional authors for this research include Vishnu Mohan Mishra and Adesh Kumar.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.32604/iasc.2022.024804. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
(Our reports deliver fact-based news of research and discoveries from around the world.)