https://jcmm.co.in/index.php/jcmm <p>The <em>Journal of Computers, Mechanical and Management (JCMM)</em> [e-ISSN: 3009-075X] is a peer-reviewed, open-access journal published by AAN Publishing, Malaysia. It publishes research in Engineering, Basic Sciences, Humanities, and Management, providing a platform for researchers to share new ideas and findings.</p> <p>There is <strong>no Article Processing Charge (APC) until December 2025</strong>. From <strong>January 2026 onwards</strong>, an <strong>APC of USD 250 per article</strong> will apply.</p> <p>For more details, visit our <a href="https://jcmm.co.in/index.php/jcmm/about" target="_blank" rel="noopener">About JCMM</a> page.</p> AAN Publishing en-US Journal of Computers, Mechanical and Management 3009-075X <p>The <em>Journal of Computers, Mechanical and Management</em> applies the <a href="http://creativecommons.org/licenses/by-nc/4.0/"><em>CC Attribution- Non-Commercial 4.0 International License</em> </a>to its published articles. While retaining copyright ownership of the content, the journal permits activities such as downloading, reusing, reprinting, modifying, distributing, and copying of the articles, as long as the original authors and source are appropriately cited. Proper attribution is ensured by citing the original publication.</p> https://jcmm.co.in/index.php/jcmm/article/view/193 <p>This study reviews fraud mitigation in the fintech sector due to the dual application of blockchain and artificial intelligence. Furthermore, the immutability ledger that supports transparency and accountability on the blockchain, and they successfully contain the risk of data and unauthorized financial transactions to some extent. In correlating millions of transactional data items in real-time, applying machine learning algorithms, it detects fraud and predicts it with high reliability. The proposed system describes an AI-based fraud detection system, namely the data acquisition and preparation phase, the training of AI models phase, and the monitoring phase. The advantages of AI-based fraud detection include high accuracy rates, instant monitoring in which a subsequent reaction can be initiated, minimal or no false positives, and cost efficiencies. This survey evaluates and examines current FinTech fraud detection methods, emphasizing the synergistic application of artificial intelligence and blockchain technologies. This study emphasizes implementation based on cost issues, its suitability for expansion and its legal concerns. It is applied to change many businesses, increase efficiency, decrease fraud, and bring innovation to the field of financial technologies.</p> Nikhil Kassetty Copyright (c) 2025 Journal of Computers, Mechanical and Management https://creativecommons.org/licenses/by-nc/4.0 2025-05-06 2025-05-06 4 2 10.57159/jcmm.4.2.25193 https://jcmm.co.in/index.php/jcmm/article/view/211 <p>The rapid advancement of the Internet of Things (IoT) is reshaping industries by enabling seamless communication between devices, real-time data collection, and automation. Given the surge in IoT applications, challenges related to security, scalability, and interoperability have become increasingly critical. This study presents a state-of-the-art software engineering framework designed to address these limitations through the integration of blockchain technology and smart contracts. By leveraging the decentralized, immutable, and transparent nature of blockchain, the proposed framework enhances trust and security within IoT environments. Smart contracts, as secure, self-executing code, facilitate autonomous interactions between IoT devices without relying on centralized control. Additionally, the framework introduces novel strategies for optimizing resource management and data handling efficiency while improving system scalability across distributed networks. The synergistic use of blockchain and smart contracts not only resolves key IoT challenges but also contributes to the development of robust, efficient, and scalable IoT ecosystems. The framework is applicable across diverse domains, including healthcare, smart cities, supply chain management, and industrial automation, fostering innovative, self-governing IoT systems throughout their operational lifecycle.</p> Pandit Darshan Pradeep Manoj E. Patil Copyright (c) 2025 Journal of Computers, Mechanical and Management https://creativecommons.org/licenses/by-nc/4.0 2025-04-30 2025-04-30 4 2 9 16 10.57159/jcmm.4.2.25211