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        Understanding and mitigating cyberfraud in Africa

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        Author(s)
        Akinbowale, Oluwatoyin E
        Mashigo, Mariann P
        Zerihun, Prof. Mulatu
        Language
        English
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        Abstract
        The book covers the overview of cyberfraud and the associated global statistics. It demonstrates practicable techniques that financial institutions can employ to make effective decisions geared towards cyberfraud mitigation. Furthermore, the book contains some emerging technologies, such as information and communication technologies (ICT), forensic accounting, big data technologies, tools and analytics employed in fraud mitigation. In addition, it highlights the implementation of some techniques, such as the fuzzy analytical hierarchy process (FAHP) and system thinking approach to address information and security challenges. The book combines a case study, empirical findings, a systematic literature review and theoretical and conceptual concepts to provide practicable solutions to mitigate cyberfraud. The major contributions of this book include the demonstration of digital and emerging techniques, such as forensic accounting for cyber fraud mitigation. It also provides in-depth statistics about cyber fraud, its causes, its threat actors, practicable mitigation solutions, and the application of a theoretical framework for fraud profiling and mitigation.
        URI
        https://library.oapen.org/handle/20.500.12657/91185
        Keywords
        Cyberfraud;cyberspace;big data;fraud;fraud mitigation;forensic accounting;ICT;IT;information security;machine learning
        DOI
        10.4102/aosis.2024.BK485
        ISBN
        9781991271082, 9781991269089, 9781991270085
        Publisher
        AOSIS
        Publisher website
        https://books.aosis.co.za/index.php/ob
        Publication date and place
        Capetown, 2024
        Imprint
        AVARSITY Books
        Classification
        Technology: general issues
        Pages
        392
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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