Results 11 to 20 of about 28,722 (249)
Detecting Phishing Websites using recent Techniques: A Systematic Literature Review [PDF]
ITM Web of Conferences, 2023 The goal of this study Phishing attacks are constantly evolving, and to avoid being detected by conventional means, attackers use cutting-edge approaches.
Subashini K., Narmatha V.
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Phishing or Not Phishing? A Survey on the Detection of Phishing Websites
IEEE Access, 2023 Phishing is a security threat with serious effects on individuals as well as on the targeted brands. Although this threat has been around for quite a long time, it is still very active and successful. In fact, the tactics used by attackers have been evolving continuously in the years to make the attacks more convincing and effective.
Rasha Zieni +2 more
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Phishing-Inspector: Detection & Prevention of Phishing Websites [PDF]
ITM Web of Conferences, 2020 With a tremendous boost in technologies & available learning material developing any website has become very easy. Due to this the number of websites are exponentially growing day by day. The traditional approach of comparing websites with Blacklist and whitelist is not so efficient.
Doke Tanmay +3 more
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Improving the phishing website detection using empirical analysis of Function Tree and its variants
Heliyon, 2021 The phishing attack is one of the most complex threats that have put internet users and legitimate web resource owners at risk. The recent rise in the number of phishing attacks has instilled distrust in legitimate internet users, making them feel less ...
Abdullateef O. Balogun +10 more
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PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification
IEEE Access, 2023 Recent studies have shown that phishers are using phishing kits to deploy phishing attacks faster, easier and more massive. Detecting phishing kits in deployed websites might help to detect phishing campaigns earlier.
Felipe Castano +3 more
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Learning to detect phishing emails [PDF]
Proceedings of the 16th international conference on World Wide Web, 2006 Each month, more attacks are launched with the aim of making web users believe that they are communicating with a trusted entity for the purpose of stealing account information, logon credentials, and identity information in general. This attack method, commonly known as "phishing," is most commonly initiated by sending out emails with links to spoofed
Ian Fette +2 more
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High Accuracy Phishing Detection Based on Convolutional Neural Networks [PDF]
, 2020 The persistent growth in phishing and the rising volume of phishing websites has led to individuals and organizations worldwide becoming increasingly exposed to various cyber-attacks.
Alzaylaee, Mohammed K. +1 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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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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HTMLPhish: Enabling Phishing Web Page Detection by Applying Deep Learning Techniques on HTML Analysis [PDF]
, 2020 Recently, the development and implementation of phishing attacks require little technical skills and costs. This uprising has led to an ever-growing number of phishing attacks on the World Wide Web.
Chen, Yingke, Opara, Chidimma, Wei, Bo
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