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A Survey of Machine Learning-Based Solutions for Phishing Website Detection
Machine Learning and Knowledge Extraction, 2021 With the development of the Internet, network security has aroused people’s attention. It can be said that a secure network environment is a basis for the rapid and sound development of the Internet. Phishing is an essential class of cybercriminals which
Lizhen Tang, Qusay H. Mahmoud
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PDGAN: Phishing Detection With Generative Adversarial Networks
IEEE Access, 2022 Phishing is a harmful online attack that could lead to identity theft and financial damages. The demand for high-accuracy phishing detection tools has risen due to the increase of online electronic services and payment systems.
Saad Al-Ahmadi +2 more
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International Journal of Scientific Research in Science and Technology, 2022 It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity.
null Mr. Tahir Naquash H B +4 more
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International Journal of Networked and Distributed Computing (IJNDC), 2020 This article presents the threshold-based incremental learning model for a case-base updating approach that can support adaptive detection and incremental learning of Case-based Reasoning (CBR)-based automatic adaptable phishing detection.
San Kyaw Zaw, Sangsuree Vasupongayya
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SPWalk: Similar Property Oriented Feature Learning for Phishing Detection
IEEE Access, 2020 Detecting phishing webpages is an essential task that protects legitimate websites and their users from various malicious activities. To classify the suspect webpage as phishing or legitimate, robust and effective features used for classification are in ...
Xiuwen Liu, Jianming Fu
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Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
IEEE Access, 2022 Phishing has become an increasing concern and captured the attention of end-users as well as security experts. Existing phishing detection techniques still suffer from the deficiency in performance accuracy and inability to detect unknown attacks despite
Nguyet Quang Do +4 more
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Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation
Cryptography, 2022 This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with the deficiencies of the knowledge-based representation and the binary decision. The suggested detection method was performed using Fuzzy
Mohammad Almseidin +3 more
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Detecting phishing webpages via homology analysis of webpage structure [PDF]
PeerJ Computer Science, 2022 Phishing webpages are often generated by phishing kits or evolved from existing kits. Therefore, the homology analysis of phishing webpages can help curb the proliferation of phishing webpages from the source.
Jian Feng +3 more
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, 2023 Phishing is a severe threat to online users, especially since attackers improve in impersonating other websites. Phishing is an act of cracking by single person or group of persons to steal the personal confidential information such as credit card details, bank account details, passwords etc., from unknown suffered for illegal activities. With websites
Agrawal, Sachin, Fandi, Nikita
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Research of phishing detection technology
网络与信息安全学报, 2017 The current status of phishing scams were analyzed and the data sets and evaluation indicators commonly used in phishing detection were summaried.On this basis,a detailed overview of the typical methods of phishing detection was given,which included ...
Xi ZHANG +3 more
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