Journal of Digital Security and Forensics
https://www.digitalsecurityforensics.org/digisecforensics
<p>Journal of Digital Security and Forensics (ISSN- 3048-894X) is an online, half-yearly, open access, peer-reviewed journal which provides a forum to publish accessible articles describing original research in the inherently interdisciplinary cyber security, information security and digital forensic domain. This includes the security of information, computers and networks, cryptography, cyber-physical system security, digital forensics, and other related fields. This also includes digital forensic research, case studies, investigation models, investigation tools analysis, electronic evidences, reporting and future of digital forensics. In addition, the journal publishes papers that take an interdisciplinary approach to the study of cyber and information security, including topics such as international relation, data protection, privacy, ethics, legal issues, and economic implications.</p> <p>Editor-in-chief:<br />Dr. Pratosh Bansal (Professor, Department of Information Technology, Institute of Engineering & Technology, Devi Ahilya Vishwavidyalaya, India)</p> <p>Managing Editor:<br />Dr. Tina Porwal (Managing Editor, Granthaalayah Publications and Printers, 109/C, Sukhdev Nagar Ex2, Airport Road, Indore, 452005, India)</p>Granthaalayah Publications and Printersen-USJournal of Digital Security and Forensics3048-894X<p>With the licence CC-BY, authors retain the copyright, allowing anyone to download, reuse, re-print, modify, distribute, and/or copy their contribution. The work must be properly attributed to its author.</p> <p>It is not necessary to ask for further permission from the author or journal board. </p> <p>This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.</p>A CRITICAL REVIEW OF AVAILABLE INFRASTRUCTURE, POLICY FRAMEWORKS, AND ORGANIZATIONAL CULTURE IN THE IMPLEMENTATION OF FAIRNESS-ENHANCING ARTIFICIAL INTELLIGENCE
https://www.digitalsecurityforensics.org/digisecforensics/article/view/92
<p>The paper is a critical analysis on why infrastructure, policy based, and organizational culture is important in the successful implementation of fairness-improving artificial intelligence (AI). Although the metrics of algorithmic fairness and bias mitigation have been heavily developed, their application in an institutional context is poorly coordinated. The major void in knowledge is how sociotechnical conditions facilitate or limit the process of long-term adoption of fairness beyond the optimization of the technical side. A systematic literature review based on PRISMA helped to identify 150 records, screen them, and then reduce them to 20 studies that fulfilled the inclusion criteria, which were all related to implementation contexts. These results indicate that strong data governance and lifecycle monitoring and auditing systems are the basis of operational fairness, and that enforceable policy mechanisms and culture rooted in leadership play a significant role in the result. The paper concludes that AI-based fairness encompasses a sociotechnical ecosystem and not a set of technical responses.</p>Gyani RayN Molla
Copyright (c) 2026 Gyani Ray, N Molla
https://creativecommons.org/licenses/by/4.0
2026-04-022026-04-02311610.29121/digisecforensics.v3.i1.2026.92VOICE OVER INTERNET PROTOCOL (VOIP) NETWORK FORENSICS AND SECURITY: A COMPREHENSIVE SYNTHESIS OF DIGITAL INVESTIGATION TECHNIQUES, TRAFFIC ANALYSIS, AND EMERGING CHALLENGES
https://www.digitalsecurityforensics.org/digisecforensics/article/view/81
<p>Voice over Internet Protocol (VOIP) has changed the way people communicate all over the world because it provides people with flexible and inexpensive alternatives to the traditional telephony. But this change presents complicated security and forensic issues that require expert investigation techniques. This review sees a significant shift in the open-standard protocol analysis towards the application-specific study of encrypted proprietary platforms including Zoom, Discord and Microsoft Teams. Memory forensics is now capable of retrieving volatile evidence found in RAM and machine learning has improved the detection of encrypted traffic to more than 95 percent. There are still persistent problems with real-time evidence collection, cross-platform compatibility and compatibility against developing encryption standards. The upcoming studies aim at automation, privacy preserving methods of investigation, and quantum resistant security models that would address the new forensic requirements.</p>Vaishnavi RautKapil ShuklaKrishna Modi
Copyright (c) 2026 Vaishnavi Raut, Kapil Shukla, Dr. Krishna Modi
https://creativecommons.org/licenses/by/4.0
2026-04-142026-04-143171810.29121/digisecforensics.v3.i1.2026.81