Rakesh Kumar Jha

Work place: Shri Mata Vaishno Devi University, Electronics & Communication Engineering, Katra (J&K), 182320, India

E-mail: jharakesh.45@gmail.com

Website:

Research Interests: Data Structures and Algorithms, Network Security, Information Security, Computer Architecture and Organization, Computer systems and computational processes

Biography

Rakesh K. Jha (S’10, M’13, SM 2015) is currently an Associate Professor in the Department of Electronics and Communication Engineering, Indian Institute of Information Technology Design and Manufacturing Jabalpur, India. He has also worked as an Associate Professor at SMVD University, J&K, India. He is among the top 2% researchers of the world. He has published more than 61 SCI Journals Papers including many IEEE Transactions, IEEE Journal, and more than 25 International Conference papers. His area of interest is Wireless communication, Optical Fiber Communication, Computer Networks, and Security issues. Dr. Jha’s one concept related to the router of Wireless Communication was accepted by ITU in 2010. He has received the young scientist author award by ITU in Dec 2010. He has received APAN fellowship in 2011, 2012, 2017 and 2018 and student travel grant from COMSNET 2012. He is a senior member of IEEE, GISFI and SIAM, International Association of Engineers (IAENG) and ACCS (Advance Computing and Communication Society). He is also a member of, ACM and CSI, with many patents and more than 6001 citations to his credit. 

Author Articles
Attack Modeling and Security Analysis Using Machine Learning Algorithms Enabled with Augmented Reality and Virtual Reality

By Momina Mushtaq Rakesh Kumar Jha Manish C. Sabraj Shubha Jain

DOI: https://doi.org/10.5815/ijcnis.2024.04.08, Pub. Date: 8 Aug. 2024

Augmented Reality (AR) and Virtual Reality (VR) are innovative technologies that are experiencing a widespread recognition. These technologies possess the capability to transform and redefine our interactions with the surrounding environment. However, as these technologies spread, they also introduce new security challenges. In this paper, we discuss the security challenges posed by Augmented reality and Virtual Reality, and propose a Machine Learning-based approach to address these challenges. We also discuss how Machine Learning can be used to detect and prevent attacks in Augmented reality and Virtual Reality. By leveraging the power of Machine Learning algorithms, we aim to bolster the security defences of Augmented reality and Virtual Reality systems. To accomplish this, we have conducted a comprehensive evaluation of various Machine Learning algorithms, meticulously analysing their performance and efficacy in enhancing security. Our results show that Machine Learning can be an effective way to improve the security of Augmented reality and virtual reality systems.

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Modelling and Simulation of Hydro Power Plant using MATLAB & WatPro 3.0

By Jahnvi Tiwari Ashish Kumar Singh Ashish Yadav Rakesh Kumar Jha

DOI: https://doi.org/10.5815/ijisa.2015.08.01, Pub. Date: 8 Jul. 2015

Increase in demand of electricity and clean drinking water has produced a chronic need of a promising and reliable technology for the supply of both commodities, which should be entirely based on renewable sources of energy. The authors, in their previous work, had proposed a design of a hybrid power plant which used graphene membrane for power generation using reverse osmosis process. The proposal included removal of arsenic, poorly biodegradable pollutants using TiO2 nanoparticles. Chlorine production using the process of electrolysis. The plant was also electronically implemented and included pump control, fouling detection modules and decision module for the volume of effluents to be discharged. The performance of a power system is essential to be analyzed for control, stabilization and efficient modelling. In the present research paper, simulation model of the hybrid plant is analyzed. The chemical behavior is analyzed with 'Watpro 3.0' industrial software and turbine governance system is studied via MATLAB. This plant is a potential replacement of chemical purification techniques with high overhead and excess cost. It is a better, efficient, safe and reliable system to produce clean and safe drinking water and electricity simultaneously.

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