Daily Archives: December 18, 2025

Authors: Praful Madne, Yash Nanwatkaer, Aary Mahadik, Agrim Khanna, Poonam Chavan

Abstract: The increasing digitalization of academic environments has created the need for efficient task management systems that support assignment distribution, submission tracking, and faculty–student interaction. UniTasker is a role-based task management application designed for diploma-level educational institutions. It provides dedicated interfaces for faculty and students, enabling assignment creation, submission, grading, and automated reminders. Although the current version focuses on assignment workflows, UniTasker is designed to support future extensions such as integrated attendance tracking. This survey paper reviews existing academic task management solutions, identifies gaps in current systems, and evaluates how UniTasker addresses these gaps through its architecture and features.

Published by: vikaspatanker

Authors: Dr. Ishwar Singh

Abstract: The NMR, IR and Electronic spectra studies on biologically active complexes of iron (II) have been reported. The bands observed and discussed assuming the molecule under CS point group symmetry. The electronic study in nujol phase has been calculated. The IR spectral studies of this compound have been discussed.

DOI: https://doi.org/10.5281/zenodo.17974049

 

Published by: vikaspatanker

Authors: Harsh Parashar, Kartik Sharma, Rehansh Mohta

Abstract: The increasing reliance on web-based systems for critical operations—such as financial transactions, healthcare data management, government services, and e-commerce—has augmented the need for reliable web security mechanisms. Modern cyberattacks increasingly exploit browser vulnerabilities rather than server-side weaknesses. According to recent research, over 72% of web- based attacks target insecure browser environments through injection, manipulation, session hijacking, or redirection techniques. This creates a significant attack surface where traditional backend security mechanisms are insufficient. This research paper provides a deep analysis of HTTP security headers, an often overlooked yet highly effective method of browser protection. When properly implemented, security headers can reduce the likelihood of browser-based attacks by more than 70%. The headers examined include Content- Security-Policy (CSP), Strict-Transport-Security (HSTS), X-Frame-Options, Referrer-Policy, X- Content-Type-Options, and Permissions-Policy. Each header's function, implementation method, security impact, and limitations are investigated. The research further incorporates threat modeling using the STRIDE framework, comparative analysis of websites with and without headers, real-world case studies, and AI-based automation concepts for detecting missing headers. The findings indicate that security headers are both low-cost and highly impactful, making them one of the most practical defenses for modern web applications. The paper concludes by proposing future AI-driven methodologies that can automatically analyze, predict, and configure optimal security headers.

Published by: vikaspatanker