Forthcoming and Online First Articles

International Journal of Applied Cryptography

International Journal of Applied Cryptography (IJACT)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Applied Cryptography (1 paper in press)

Regular Issues

  • BlockFedL: a blockchain-based federated learning framework for securing smart UAV delivery systems at the edge   Order a copy of this article
    by Chengzu Dong, Zhiyu Xu, Shantanu Pal, Frank Jiang, Shiping Chen, Chong Zhang, Xiao Liu 
    Abstract: The integration of edge computing into advanced UAV delivery systems is of great interest to both research and industry. This integration offers new business opportunities and serves as a testbed for innovative technologies like edge computing, blockchain, and machine learning. A key concern for these systems is data privacy, especially given the large amounts of user and UAV data processed for tasks such as self-guided navigation, facial recognition, and person re-identification (ReID). To address this, federated learning (FL) has emerged as a popular choice, allowing for model parameter sharing while keeping raw data private. However, traditional FL approaches are vulnerable to single points of failure. Our study introduces the blockchain-powered edge FL (BlockFedL) framework, a blockchain-enhanced, decentralised FL framework for edge-based UAV delivery systems. BlockFedL leverages blockchain to form a decentralized FL network, ensuring secure data storage and mitigating risks. We specifically investigate privacy issues in the person ReID application for smart UAV delivery systems and introduce a proof of quality factor (cPoQF) consensus protocol to address blockchain scalability challenges. Experimental results demonstrate improvements in energy consumption, transaction speed, and processing capacity, highlighting the frameworks effectiveness.
    Keywords: UAV delivery; blockchain technology; internet of things; IoT; edge computing; collaborative learning; federated learning; intelligent communications.
    DOI: 10.1504/IJACT.2024.10065181
     

 

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