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187 articles for “trust”
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Ensuring Data Traceability Across Multiple Cloud Environments
Abstract: This study investigates the challenges and solutions for ensuring data traceability across multiple cloud environments. With organizations' increasing reliance on cloud infrastructure, maintaining data traceability is crucial for compliance, data integrity, and secure data management. The diversity of cloud systems, spanning public, private, and hybrid models, introduces complexities in tracking data lineage, access, and movement. This study delves into multi-cloud strategies' technical and operational hurdles, such as varying data formats, …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 08–22 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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VishwaHub: Chatting App
Abstract: VishwaHub is a ground-breaking mobile application designed specifically for college students in a digitally connected age. It breaks down traditional barriers to education and fosters a dynamic, collaborative learning environment. VishwaHub is a learning revolution platform that focuses on solving the basic problems faced by college students. VishwaHub is a multifunctional platform that facilitates effective communication, doubt resolution, and collaborative learning among students. It does this by smoothly integrating real-time …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 7–16 Read article
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Cyber Security Challenges in Developing Countries: A Special Reference to Afghanistan
Abstract: This review paper explores the widespread cybersecurity challenges encountered by developing countries, specifically concentrating on Afghanistan during the period from 2020 to 2024. The study highlights the significant gaps in cybersecurity capabilities, infrastructure, and regulatory frameworks that exacerbate the vulnerability of these nations to cyber threats. Key findings include the lack of basic legal frameworks for countering cybercrime, with only a minority of African states, and presumably other developing regions …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Network Security Secure Communication in Industrial Networks
Abstract: In an era dominated by rapid industrial digitization, ensuring the security of communication in industrial networks has become a critical challenge. Industrial networks, which facilitate seamless communication between machines, devices, and systems, are increasingly targeted by cyber threats that can disrupt operations, compromise sensitive data, and jeopardize safety. This article delves into the key aspects of secure communication in industrial networks, emphasizing the role of advanced encryption techniques, robust authentication …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Quantum Key Distribution in Optical Fiber Communication: A Study
Abstract: The relentless march of technological advancements, particularly in the realm of quantum computing, stances a noteworthy threat to security of existing cryptographic systems. Traditional encryption methods, like RSA and AES, trust on mathematical problems considered computationally hard for computers. However, sufficiently powerful quantum computers could render these systems vulnerable to attacks, jeopardizing the confidentiality of sensitive data transmitted over optical fiber networks. This looming threat has spurred significant research and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 30–40 Read article
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Unveiling Empowerment: Evaluating Entrepreneurial Effectiveness of Self-Help Groups in Murshidabad and South 24 Pargana
Abstract: Self-help groups (SHGs) have played an essential role in the socio-economic upliftment of society, especially in West Bengal over the last decades. Analytically discussing gender dimensions in the SHGs, this paper scrutinizes the efficiency of the two districts, namely, Murshidabad and South 24 Parganas considering certain parameters. Based on the analysis of the parameters of the empowerment indicators and socio-economic effects of the SHGs, the paper explains to what extent …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 23–33 Read article
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Human-Robot Interactions and Social Robotics in Legal, Ethical, and Social Dimensions
Abstract: Human-robot interaction and social robotics have emerged as transformative fields, reshaping human engagement with intelligent machines. This evolution brings profound legal, ethical, and social challenges that demand critical exploration. Also, legal firms often struggle to keep pace with the advancements, raising questions about liability, accountability, and privacy in human-robot interaction. However, social robots, designed to operate in dynamic human environments, present ethical dilemmas around autonomy, trust, and preserving human dignity. …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 1, 2025 · pp. 09–11 Read article
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Role of Generative AI for Advanced Shell Language Design
Abstract: This study explores the emerging field of applying Artificial Intelligence (AI), specifically generative AI, to enhance shell scripting, a crucial skill for system administration and automation. While the formal design of entirely new shell languages using AI remains a long-term prospect, the current focus is on augmenting how existing shell languages are used for improving the scripting experience. This involves leveraging AI for tasks like automated script generation, intelligent code …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 22–27 Read article
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E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article
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Regulations for Toothbrushes: A Comparative Study Between India, the US, Europe, and Australia
Abstract: Toothbrushes are essential tools for maintaining oral hygiene, making their regulation vital for consumer safety and health efficacy. This article presents a comparative analysis of toothbrush regulations in India, the United States, Europe, and Australia, highlighting the unique frameworks each region has developed to address manufacturing, distribution, and marketing challenges. In India, the Bureau of Indian Standards (BIS) and the Food Safety and Standards Authority of India (FSSAI) set safety …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 1–6 Read article
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Blockchain-based Land Registration: A Secure and Transparent Approach
Abstract: Traditional land registration systems have long faced challenges such as inefficiencies, lack of transparency, and security vulnerabilities due to centralized governance. The dependency on centralized entities for property record maintenance introduces risks such as data manipulation, fraudulent transactions, and unauthorized modifications. Additionally, bureaucratic procedures in these systems often lead to delays in property transfers and ownership verification. These shortcomings hinder economic development and trust among stakeholders. Blockchain technology presents an …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 40–46 Read article
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Blockchain-Assisted Electronic Voting: A System Design Perspective
Abstract: Voting plays a vital role in upholding democratic principles by allowing individuals to express their preferences and take part in shaping the decisions that affect their lives. Despite its importance, traditional voting systems—whether manual or digital—continue to encounter major obstacles. These include a lack of transparency, declining voter turnout, vulnerability to fraud, and concerns around manipulation. While digital voting platforms offer a modern alternative, they often face skepticism due to …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 9–16 Read article
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Advanced Digital Twin and AI Integration for Real-Time Optimization in Polymer Production
Abstract: The integration of Internet of Things (IoT) with Artificial Intelligence (AI) technologies opens up considerable avenues for reshaping polymer manufacturing by improving operational effectiveness, securing exceptional product standards, and advancing sustainability in the environment. This academic manuscript delineates an advanced framework that integrates IoT and AI with synergistic technologies, including blockchain, edge computing, and digital twin methodologies, to revolutionize polymer manufacturing processes. The proposed architecture utilizes IoT sensors for the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 81–89 Read article
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Negative Perceptions of Broiler Consumers: Exploring Societal Attitudes, Cultural Ethics, and Health Concerns for Sustainable Production
Abstract: Negative perceptions of broiler chicken remain a significant barrier to its acceptance and market sustainability. This study investigates the societal attitudes, cultural ethics, and health concerns that influence consumer perceptions and challenges the broiler industry. Ethical issues, including animal welfare and perceived unnatural rearing practices, often fuel consumer distrust. Health concerns such as antibiotic residues, growth hormone usage (often misunderstood), and lower nutritional value compared to native breeds further exacerbate …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 9–22 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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Role of Artificial Intelligence in Health Care Decision Making: Balancing Innovation and Caution
Abstract: Healthcare is undergoing a transformation powered by artificial intelligence, which improves monitoring, diagnosis, and treatment capabilities. Among Artificial Intelligence (AI's) shortcomings is the dearth of an emotional relationship between individuals and medical personnel. Robotic surgery procedures pose the possibility of malfunctioning machinery and mistaken assumptions. So, the present systematic review focused on exploring the boon and bane of the role of AI in predicting various abnormalities in advance to improve …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 24–35 Read article
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Use of Nano-Formulated Ayurvedic Medicines: A Bridge Between Tradition and Modern Science in South India
Abstract: The integration of nanotechnology with traditional Ayurvedic medicine represents an exciting and emerging area of healthcare innovation. By combining the age-old wisdom of Ayurveda with the precision and efficiency of modern nanotechnology, researchers are developing new ways to enhance the effectiveness of herbal treatments. Nanotechnology allows for the creation of tiny drug delivery systems that can improve how Ayurvedic medicines are absorbed and utilized in the body, potentially making them …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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Unveiling the Veil of Black Money Understanding Its Impact on Economic Stability and Policy Formulation in India
Abstract: The issue of black money has emerged as a critical concern for India, undermining economic stability and challenging the effectiveness of policy formulation. Black money, generated through unaccounted income and tax evasion, exerts a detrimental influence on multiple facets of the economy, including resource allocation, income distribution, and public trust in governance. This study examines the multifaceted impact of black money on India’s economic framework, highlighting its role in distorting …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article