2 publications

  • Published Subscription Review Article

    Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology

    Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …

    Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article

  • Published Subscription Review Article

    Federated Learning for Energy Management in Next Generation Smart Cities

    Abstract: Federated learning has emerged as a promising approach for addressing the challenges of energy management in next-generation smart cities. This decentralized approach to machine learning allows collaborative model training among distributed data sources, while safeguarding data privacy and security. In this study, we explore the application of federated learning techniques to optimize energy consumption, enhance grid stability, and promote sustainability in smart city environments. By aggregating data from diverse sources …

    Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 19–27 Read article

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