Recent research on phishing detection through machine learning algorithm
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 t...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2021
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/98063/ http://dx.doi.org/10.1007/978-3-030-79457-6_42 |
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| Institution: | Universiti Teknologi Malaysia |
| Summary: | 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.B |
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