International Journal of Information Security Engineering

Latest articles

• Published Subscription Original Research 26 Jun 2026

  Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning

  By Vishal Sanjay Yadav, Gaurang Gopal Vasoya, Anusri Mukhopadhyay

  Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article →

• Published Subscription Original Research 17 Jun 2026

  Thermal Steganography: A New Way to Steal Data from Air-Gapped Computers Using Heat and Fan Noise

  By Kaushal D Jani, Bhargav Rajyagor

  Abstract: Nowadays, high-security computers are "air-gapped," meaning they are not connected to the internet to prevent hacking. Cybercriminals are increasingly using direct, physical methods to access and take data instead of relying on internet-based attacks. This paper introduces a new cybersecurity threat called Thermal-Secret. Most existing heat-based attacks are very slow and fail if the room temperature changes. To solve this, we developed a Slope-Based method. Instead of looking at how …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article →

• Published Subscription Review Article 14 May 2026

  Ethical AI and Data Protection in the Era of Industry 5.0

  By Saurabh Chandravanshi, Mohammed Bakhtawar Ahmed

  Abstract: This paper provides a comprehensive analysis of the critical intersection between Responsible AI (RAI), data privacy, and the Industry 5.0 paradigm. Industry 5.0, defined by its human-centric, sustainable, and resilient pillars, introduces a fundamental paradox: its core requirement for human-AI collaboration necessitates the collection and processing of granular human data, creating direct conflicts with emerging global data privacy and AI regulations. This research utilizes a systematic integrative review methodology, analyzing …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article →

• Published Subscription Review Article 26 Mar 2026

  The Dark Side of Technology: Addressing the Rise of Cybercrime and Data Breaches

  By V. Basil Hans

  Abstract: In the digital age, technological advancements have brought about remarkable improvements in communication, business, and daily life. However, these innovations have also given rise to a darker side of the tech world: an increase in cybercrime and data breaches. This article examines the growing threats posed by malicious actors, including hackers, cybercriminal syndicates, and state-sponsored entities, who exploit vulnerabilities in digital systems. It explores the wide-reaching impacts of cybercrime, from …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 06–15 Read article →

• Published Subscription Original Research 26 Mar 2026

  Blockchain for Secure Health Records in India: Aligning with Ayushman Bharat

  By Kevin Joseph

  Abstract: India’s healthcare ecosystem continues to face significant hurdles, particularly in the efficient management, protection, and accessibility of patient health records. For decades, medical data in the country has remained scattered across institutions, recorded in incompatible formats, and stored in systems that rarely communicate with each other. These gaps not only slow down clinical decision-making but also increase exposure to data breaches and other cybersecurity risks. In this context, blockchain technology …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 01–05 Read article →

• Published Subscription Review Article 26 Mar 2026

  Ethical and Responsible AI: A Comprehensive Review of Principles, Methods, and Tools

  By Divyansh Rajat, Akshita, Jaspreet Kaur

  Abstract: Quick development of artificial intelligence (AI) has revolutionized a number of industries, including healthcare, banking, and government, by providing creative answers to challenging issues. However, there are serious ethical issues with growing integration of AI into crucial decision-making processes, including prejudice, a lack of transparency, abuses of data privacy, and accountability gaps. A systematic strategy that incorporates technical solutions, legal frameworks, and ethical standards is needed to address these issues. …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 23–34 Read article →

• Published Subscription Original Research 24 Mar 2026

  Securing Web Applications: A Machine Learning Approach for SQL Injection Threats

  By Nilima D. Bobade, Swati S. Shereker

  Abstract: The rapid evolution and widespread adoption of the internet have significantly transformed the world, leading to an increased number of cyberattacks. Cybersecurity has become one of the most critical challenges for society, incurring substantial financial losses annually. This research focuses on SQL injection attacks, the specific threat to web applications, aiming to detect malicious queries designed to exploit vulnerabilities and access sensitive data. In recent years, the frequency of SQLi …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 16–22 Read article →

• Published Subscription Review Article 17 Nov 2025

  AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations

  By Tanisha Waghmare, Nandini Waychale, P. N. Fuldeore, S. L. Vidhate, Nita Shinde

  Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …

  Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article →

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