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Prasada Reddy. M. M.

Work place: Dept. of ECE, GIET University, Gunupur, Odisha - 765022., India

E-mail: maruthiprasadareddy@gmail.com

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Biography

Prasada Reddy M. M. has established himself as a leading figure in Electronics and Computer Science Engineering through his impactful research and scholarly contributions. His extensive body of work includes over 50 published research papers and presentations at 40 conferences, highlighting his active engagement with the academic community. Dr. Reddy's innovative contributions are further recognized through the 2 patents he has been granted. As a prolific author, he has penned more than 10 influential books covering a broad spectrum of topics, including Antennas and Wave Propagation, Cloud Computing, Machine Learning, Internet of Things, Data Structures, Signals and Systems, Electromagnetic Theory and Transmission Lines, Embedded Real Time Systems, Artificial Intelligence, and Computer Communication. These books serve as key learning resources for students in numerous universities, demonstrating the significant impact of his work on engineering education. The translation of his book, Embedded Real Time Systems, into an impressive 14 languages, including Mandarin, further attests to the global relevance and impact of his scholarship. Dr. Reddy's current research interests are at the forefront of technological advancement, focusing on wireless communications, innovative 5G antenna design, and the rapidly evolving field of Natural Language Processing. Also, Mr. Reddy Worked as a Principal for reputed Engineering Colleges in Andhra and Telangana states, India.

Author Articles
Adaptive Tangent Homomorphic Encryption with Equivariant Quantum Neural Networks for Secure Data Transmission Routing in MANET

By V. Ravi Kumar Prasada Reddy. M. M. B. Nancharaiah

DOI: https://doi.org/10.5815/ijcnis.2026.02.08, Pub. Date: 8 Apr. 2026

Due to the dynamic nature of the network architecture, resource constraints, and susceptibility to security attacks, securing data transmission in Mobile Ad-hoc Networks (MANETs) is a significant problem. This work proposes a novel Equivariant Quantum Neural Networks with Adaptive Tangent Brakerski-Gentry Vaikuntanathan Homomorphic Encryption algorithm (EQNN-ATBGVHEA)- based secure routing in MANET. The suggested approach comprises three steps: cluster head (CH) selection, optimal path selection, and secure data transfer. Initially, the Bowerbird Optimization Algorithm chooses the CH and sends the message through the constructed path. Once the clusters are established, data is transferred between the sender and receiver. For optimal route selection, developed the EQNNs technique which incorporates a neural network for quick route selection. EQNN resolves the issues of local optimality by constructing a new fitness process based on residual energy (RE) and delay. After the optimal path selection, Data transfer is secured by the innovative ATBGVHEA technique. Furthermore, this method is built using NS3, and the variables are determined. Additionally, the acquired results are contrasted with existing approaches for validating the efficiency of the suggested strategy. The developed method achieved a clustering accuracy of 98.5%, a computational time of 55ms, and a residual energy of 0.44.

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