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Scalable Detection and Isolation of Phishing [PDF]

, 2009
This paper presents a proposal for scalable detection and isolation of phishing. The main ideas are to move the protection from end users towards the network provider and to employ the novel bad neighborhood concept, in order to detect and isolate both ...
Moreira Moura, G.C., Pras, A.
core   +6 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, Rebeen Ali Hamad, Longzhi Yang, Xuan He, Hao Wang, Bin Gao, Wai Lok Woo   +6 more
doaj   +4 more sources

A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques

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, Tarek Gaber, Sunil Vadera, Khaled Shaalan   +3 more
doaj   +3 more sources

LegitPhish: A large-scale annotated dataset for URL-based phishing detectionMendeley Data [PDF]

Data in Brief
Phishing 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, U.V. Kulkarni, J.M. Waghmare   +2 more
doaj   +2 more sources

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
doaj   +3 more sources

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, Ali Selamat, Ondrej Krejcar, Enrique Herrera-Viedma, Hamido Fujita   +4 more
doaj   +3 more sources

AI in phishing detection: a bibliometric review [PDF]

Frontiers in Artificial Intelligence
BackgroundPhishing 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 systematic literature review on phishing website detection techniques

Journal of King Saud University: Computer and Information Sciences, 2023
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain sensitive information from an internet user. In this Systematic Literature Survey (SLR), different phishing detection approaches, namely Lists Based, Visual ...
Asadullah Safi, Satwinder Singh
doaj   +3 more sources

Applications of deep learning for phishing detection: a systematic literature review [PDF]

Knowledge and Information Systems, 2022
Cagatay Caṫal, Gorkem Giray, Bedir Tekinerdogan   +2 more
exaly   +2 more sources

Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques [PDF]

IEEE Communications Surveys and Tutorials
Aditya Kulkarni, Tamal Das
exaly   +2 more sources