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Recent Research on Phishing Detection Through Machine Learning Algorithm

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Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices (IEA/AIE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12798))

Abstract

The rapid growth of emerging technologies, smart devices, 5G communication, etc. have contributed to the accumulation of data, hence introducing the big data era. Big data imposes a variety of challenges associated with machine learning, especially in phishing detection. Therefore, this paper aims to provide an analysis and summary of current research in phishing detection through machine learning for big data. To achieve this goal, this study adopted a systematic literature review (SLR) technique and critically analyzed a total of 30 papers from various journals and conference proceedings. These papers were selected from previous studies in five different databases on content published between 2018 and January 2021. The results obtained from this study reveal a limited number of research works that comprehensively reviewed the feasibility of applying both machine learning and big data technologies in the context of phishing detection.

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Acknowledgement

This work was supported/funded by the Ministry of Higher Education under the Fundamental Research Grant Scheme (FRGS/1/2018/ICT04/UTM/01/1). The authors sincerely thank Universiti Teknologi Malaysia (UTM) under Research University Grant Vot-20H04, Malaysia Research University Network (MRUN) Vot 4L876, for the completion of the research.

Author information

Authors and Affiliations

  1. Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Do Nguyet Quang & Ali Selamat

  2. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia and Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru, Malaysia

    Ali Selamat

  3. Center for Basic and Applied Research, Faculty of Informatics and Management, University of Hradec Kralove, Rokitanskeho 62, 500 03, Hradec Kralove, Czech Republic

    Ali Selamat & Ondrej Krejcar

Authors
  1. Do Nguyet Quang
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  2. Ali Selamat
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  3. Ondrej Krejcar
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Editor information

Editors and Affiliations

  1. i-SOMET Incorporate Association, Morioka, Japan

    Hamido Fujita

  2. Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  3. Western Norway University of Applied Sciences, Bergen, Norway

    Jerry Chun-Wei Lin

  4. Texas State University San Marcos, San Marcos, TX, USA

    Moonis Ali

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Quang, D.N., Selamat, A., Krejcar, O. (2021). Recent Research on Phishing Detection Through Machine Learning Algorithm. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12798. Springer, Cham. https://doi.org/10.1007/978-3-030-79457-6_42

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  • DOI: https://doi.org/10.1007/978-3-030-79457-6_42

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-79457-6

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