TARU PUBLICATIONS
Author

Pullela SVVSR Kumar

Department of Computer Science & Engineering Aditya University , Surampalem, Andhra Pradesh, 533437, India

Published papers
6
Citations
28
Views
1,122
Downloads
55

Publications

6 papers
Open Access Research Article·pp. 1505–1515·Vol. 28, Issue 5-AAug 2025

Implementing secure cryptographic protocols in 5G and 6G networks

V. Dankan Gowda, N. Suganthi, V. Nuthan Prasad, Manoj Tarambale, Pullela SVVSR Kumar, A. Muthusamy

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2149

In this paper: This paper focuses on the importance of secure cryptographic principles in the modern and future 5G, but also in the emerging 6G networks. As the connectivity and the rate of data transmission rise, t...

AbstractReferencesFull Text PDF (551 KB)Views: 133Downloads: 9Citations: 0
Open Access Research Article·pp. 1517–1526·Vol. 28, Issue 5-AAug 2025

Homomorphic encryption performance in secure data processing for machine learning

V. Dankan Gowda, V. Praveena, M. Nagabhushanam, Pullela SVVSR Kumar, Christian Rafael Quevedo Lezama, Disha Pathak

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2150

In this paper: In terms of data privacy and security especially in the development of machine learning HE has the potential to solve it. This paper focuses on homomorphic encryption as a method for secure data proce...

AbstractReferencesFull Text PDF (699 KB)Views: 109Downloads: 8Citations: 0
Open Access Research Article·pp. 1527–1536·Vol. 28, Issue 5-AAug 2025

A novel cryptographic approach to evaluate the security of federated learning frameworks

V. Dankan Gowda, Sadashiva V. Chakrasali, Pullela SVVSR Kumar, Sampada Abhijit Dhole, Jayamala Kumar Patil, Shivoham Singh

Published Online: 30 Aug 2025DOI: 10.47974/JDMSC-2151

In this paper: Federated Learning (FL) has turned out to be one of the most useful techniques for enabling distributed machine learning while protecting the data. Thirdly, because FL is distributed, the introduced f...

AbstractReferencesFull Text PDF (921 KB)Views: 145Downloads: 7Citations: 0
Open Access Research Article·pp. 915–925·Vol. 46, Issue 4-AMay 2025

Optimizing homomorphic encryption for machine learning operations in cloud computing

V. Dankan Gowda, Shivoham Singh, Pullela SVVSR Kumar, Krishna Kant Dave, Hemant Kothari, T. Thiruvenkadam

Published Online: 01 May 2025DOI: 10.47974/JIOS-1817

In this paper: This paper will establish how integration of machine learning operation in to cloud computing has greatly enhanced data processing and Analysis. However, data privacy and security has been tricky to a...

AbstractReferencesFull Text PDF (483 KB)Views: 172Downloads: 8Citations: 0
Open Access Research Article·pp. 927–937·Vol. 46, Issue 4-AMay 2025

Enhancing machine learning robustness against adversarial attacks through cryptographic techniques

V. Dankan Gowda, Pullela SVVSR Kumar, Praveen Damacharla, Manoj Tarambale, Prasanna Kumar Lakineni, Kalavakolanu Sripathi

Published Online: 01 May 2025DOI: 10.47974/JIOS-1818

In this paper: This paper focuses with the issue of adversarial attacks on machine learning models, and also provides a possible solution to improve the model’s robustness through the use of cryptographic solutions....

AbstractReferencesFull Text PDF (594 KB)Views: 332Downloads: 12Citations: 0
Open Access Research Article·pp. 779–791·Vol. 26, Issue 3Apr 2023

Securing networked image transmission using public-key cryptography and identity authentication

V. Dankan Gowda, Pullela SVVSR Kumar, J. Latha, C. Selvakumar, R. Shekhar, Abhay Chaturvedi

Published Online: 01 Apr 2023DOI: 10.47974/JDMSC-1754

In this paper: Nowadays, the data transmission in the network is working with the latest technology including 3G, 4G, and 5G. These technologies are replacing old technologies including 2G. Many techniques were prop...

AbstractReferencesFull Text PDF (1.3 MB)Views: 231Downloads: 11Citations: 28