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J. S. Prasath

Work place: Department of Computer Science and Engineering, Sapthagiri NPS University, Chikkasandra, Bengaluru, 560057, India

E-mail: prasaths@snpsu.edu.in

Website: https://orcid.org/0000-0002-8718-1494

Research Interests:

Biography

J. S. Prasath received Master of Engineering degree in Process Control and Instrumentation Engineering from Annamalai University, Chidambaram and Doctor of Philosophy degree in Wireless Sensor Networks for Industrial Security from Hindustan Institute of Technology and Science, Chennai, India. Currently he is working as an Associate Professor in the Department of Computer Science and Engineering at Sapthagiri NPS University, Bengaluru, India. He is an interdisciplinary and guiding many Research projects at Under graduate and Post graduate level. Earlier he served as Assistant Professor in SRM University, Hindustan University, KCG College of Technology and Narayana Engineering College. His research interests are Embedded Systems, Wireless Sensor Networks, Internet of Things, Process Control and Industrial Automation. He has published eighteen articles in International Journals, presented sixteen papers in International Conference, published two patents, written one book and one book chapter. He received the best teacher award and the two innovation awards for his research work.

Author Articles
Implementation of Internet of Things Based Data Security Using Hybrid Cryptography

By J. S. Prasath

DOI: https://doi.org/10.5815/ijwmt.2025.03.05, Pub. Date: 8 Jun. 2025

Internet of Things (IoT) is the current trends in tracking the variation of process variables in plant operations. The security threats and security issues continues to rise due to the wide usage of internet. The hybrid cryptography is proposed that involves symmetric AES, asymmetric RSA and hash functions all together enhance the security. The key length of this proposed symmetric AES encryption is 128-bit, RSA public key encryption is 1024-bit and 128-bit message digest is generated from the hash algorithm. It offers low latency in executing the proposed encoding and decoding algorithm. It is developed and verified in real-time environment using embedded system with internet of things. It assures data security and allows only authorized parties to monitor the plant parameters through the wireless networks. It preserves the intruders from gathering and modifying the sensitive plant information. It is suitable for protecting the plant parameters over the wide range of industrial applications.

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