Quang, Do Nguyet and Selamat, Ali and Krejcar, Ondrej (2021) Recent research on phishing detection through machine learning algorithm. In: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, 26 - 29 July 2021, Virtual, Online.
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-030-79457-6_42
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.B
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | ig data, Cybersecurity, Machine learning (ML), Phishing detection |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Malaysia-Japan International Institute of Technology |
| ID Code: | 98063 |
| Deposited By: | Widya Wahid |
| Deposited On: | 29 Nov 2022 02:18 |
| Last Modified: | 29 Nov 2022 02:18 |
Repository Staff Only: item control page
