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LegitPhish: A large-scale annotated dataset for URL-based phishing detectionMendeley Data [PDF]
Data in BriefPhishing attacks are a major cybersecurity threat, requiring timely detection using reliable datasets. We present LegitPhish, a novel and manually verified dataset of phishing and legitimate URLs, designed to facilitate research in machine learning-based
Rachana S. Potpelwar +2 more
doaj +2 more sources
A Deep-Learning-Driven Light-Weight Phishing Detection Sensor [PDF]
Sensors, 2019 This paper designs an accurate and low-cost phishing detection sensor by exploring deep learning techniques. Phishing is a very common social engineering technique.
Bo Wei +6 more
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AI in phishing detection: a bibliometric review [PDF]
Frontiers in Artificial IntelligenceBackgroundPhishing represents a category of cyber-attacks based on social engineering, with a significant impact on individuals and organizations, and a high capacity for reinvention by adapting its modus operandi according to technological advancements.
Daniela Popescul, Laura Diana Radu
doaj +2 more sources
Detection of Phishing Websites
International Journal of Innovative Science and Research Technology (IJISRT)Phishing is a cyber attack in which an attacker creates a copy of an existing web page to trick users into submitting personal, financial or password information, making them think that this is the real website that everyone uses. The strategy followed here is an edge server-based anti-phishing algorithm called “Link Guard” uses the property of ...
C S Avaneesh +3 more
openalex +2 more sources
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-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
openaire +2 more sources
IEEE Access, 2022 Every year, phishing results in losses of billions of dollars and is a major threat to the Internet economy. Phishing attacks are now most often carried out by email.
Said Salloum +3 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
International Journal for Research in Applied Science and Engineering TechnologyAbstract: Phishing is an online threat where an attacker impersonates an authentic and trustworthy organization to obtain sensitive information from a victim. One example of such is trolling, which has long been considered a problem. However, recent advances in phishing detection, such as machine learning-based methods, have assisted in combatting ...
Abhijith Gowda BN, Dawood +1 more
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