Results 1 to 10 of about 4,433 (157)
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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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
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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
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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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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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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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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
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Deep learning-based phishing classification framework for accurate detection using optimized URL intelligence [PDF]
Scientific ReportsThe proliferation of internet services has exposed customers to phishing attempts that steal sensitive information via false URLs. Intelligent categorization systems are required to tackle dynamic phishing techniques, which defy rule- and signature-based
R. Gobinath, S. Manikandan
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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