Detection of Phishing Page Using Machine Learning and Response HTML
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7137-4_49
Reference3 articles.
1. Odeh A, Keshta I, Abdelfattah E (2021) Machine learning techniques for detection of website phishing a review for promises and challenges. In: 2021 IEEE 11th Annual computing and communication workshop and conference (CCWC), pp 0813–0818. https://doi.org/10.1109/CCWC51732.2021.9375997
2. Athulya AA, Praveen K (2020) Towards the detection of phishing attacks. In: 2020 4th International conference on trends in electronics and informatics (ICOEI) (48184), pp 337–343. https://doi.org/10.1109/ICOEI48184.2020.9142967
3. Sumner A, Yuan X (2019) Mitigating phishing attacks an overview. In: Proceedings of the 2019 ACM Southeast Conference (ACM SE ‘19). Association for Computing Machinery, New York, NY, USA, 72–77. https://doi.org/10.1145/3299815.3314437
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