Daily Archives: October 10, 2025

Authors: Sanket L. Jaiswal, Prof .D. G. Ingale, Dr. A. P. Jadhav, Prof. S. V. Raut, Prof .S. V. Athawale, Dr.D.S.Kalyankar, Prof. R. N. Solanke

Abstract: In today’s digital world, cybersecurity is more important than ever for individuals, businesses, and governments. To protect networks from attacks, security experts often use footprinting and scanning, which are part of the first step in ethical hacking. Footprinting means collecting information about a target system, while scanning involves checking the system for active devices, open ports, and possible weaknesses. This paper explains different techniques and tools for footprinting and scanning, discusses their importance in cybersecurity, and proposes a framework to make these processes more efficient and safe. Ethical and systematic reconnaissance can help organizations strengthen their security and prevent attacks before they happen.

DOI: https://doi.org/10.5281/zenodo.17312928

 

Published by: vikaspatanker

Authors: Abhijit Kakoty

Abstract: This paper explores the core conflicts between blockchain technology and the Digital Personal Data Protection (DPDP) Act, 2023, examines the challenges that may arise during blockchain-based implementations, and considers the potential optimistic outcomes emerging from their interaction. Regular challenges faced during implementation of blockchain based application are well documented while the challenges that can be seen after DPDP act comes in to force, such as evolving interpretations of joint controllership and new advisory opinions. This paper aims to explore the synergies between blockchain technology and compliance with the Digital Personal Data Protection (DPDP) Act. By identifying key areas where actionable frameworks—leveraging emerging technologies such as chameleon hashes and zero-knowledge proofs—can be applied, it offers a forward-looking perspective on how blockchain systems can be aligned with the principles and requirements of the DPDP Act. It further contributes a strategic theoretical pathway for aligning decentralized architectures with evolving data protection norms.

DOI: https://doi.org/10.5281/zenodo.17310368

 

Published by: vikaspatanker

Authors: Mrs.R.Aruna, AP / IT, I.Hari Haran, P.A Manikandan, J.Mohamed Farees

Abstract: Effective communication between sign language users and non-signers remains a significant challenge in education, workplaces, and daily life. To address this issue, a Bi-Directional Sign Language Translation System is proposed, leveraging advanced computer vision techniques (OpenCV, Mediapipe), deep learning frameworks (TensorFlow/Keras), and Natural Language Processing (NLP) algorithms. The system provides real-time translation of sign gestures into text or speech, and conversely, converts text or voice into dynamic animated sign language. Furthermore, multilingual Text-to Speech (TTS) integration ensures clear and natural voice assistance, enhancing accessibility across diverse communities. Implemented with scalable technologies such as Python, Flask, and React.js, the platform ensures low latency, high performance, and ease of use. By combining gesture recognition, neural networks, and speech synthesis, this system promotes inclusivity and empowers individuals with hearing or speech impairments to participate fully in modern communication environments.

DOI: http://doi.org/10.5281/zenodo.17309992

Published by: vikaspatanker