Results 1 to 10 of about 4,265,497 (230)
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
doaj +2 more sources
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
A review of organization-oriented phishing research [PDF]
PeerJ Computer ScienceThe increased sophistication and frequency of phishing attacks that target organizations necessitate a comprehensive cyber security strategy to handle phishing attacks from several perspectives, such as the detection of phishing and testing of users ...
Kholoud Althobaiti, Nawal Alsufyani
doaj +3 more sources
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
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.
doaj +1 more source
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
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
core +2 more sources