SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
Phishing classification techniques: A systematic literature review
Phishing has become a serious and concerning problem within the past 10 years, with many
reviews describing attack patterns and anticipating different method utilizations. This …
reviews describing attack patterns and anticipating different method utilizations. This …
[HTML][HTML] A predictive model for phishing detection
AA Orunsolu, AS Sodiya, AT Akinwale - Journal of King Saud University …, 2022 - Elsevier
Nowadays, many anti-phishing systems are being developed to identify phishing contents in
online communication systems. Despite the availability of myriads anti-phishing systems …
online communication systems. Despite the availability of myriads anti-phishing systems …
Phishing websites detection through supervised learning networks
P Singh, YPS Maravi, S Sharma - … international conference on …, 2015 - ieeexplore.ieee.org
Phishing is an unlawful activity of making gullible people to reveal their insightful information
into fake websites. The Aim of these phishing websites is to acquire confidential information …
into fake websites. The Aim of these phishing websites is to acquire confidential information …
Feature selection for phishing detection: a review of research
Web services motivate phishers to evolve more deceptive websites as their never-ending
threats to users. This intricate challenge enforces researchers to develop more proficient …
threats to users. This intricate challenge enforces researchers to develop more proficient …
[PDF][PDF] Auntietuna: Personalized content-based phishing detection
C Ardi, J Heidemann - NDSS Usable Security Workshop …, 2016 - auntietuna.ant.isi.edu
Phishing sites masquerade as copies of legitimate sites (“targets”) to fool people into sharing
sensitive information that can then be used for fraud. Current phishing defenses can be …
sensitive information that can then be used for fraud. Current phishing defenses can be …
Feature selection for machine learning-based phishing websites detection
S Dangwal, AN Moldovan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Phishing is a social engineering technique that is commonly used to deceive users in an
attempt to obtain sensitive information such as username, passwords or credit card details …
attempt to obtain sensitive information such as username, passwords or credit card details …
Phishing classification models: issues and perspectives
The never-ending threats of phishing to the cyberspace motivate researchers to develop
more proficient phishing classification models for the survival of cyber-security with safe web …
more proficient phishing classification models for the survival of cyber-security with safe web …
Intelligent explanation generation system for phishing webpages by employing an inference system
G Ramesh, K Selvakumar… - Behaviour & Information …, 2017 - Taylor & Francis
Phishing is a fraudulent scheme to steal a user's personal and confidential information by
masking as a trustworthy entity in the electronic commerce. Phishers lure online users to visit …
masking as a trustworthy entity in the electronic commerce. Phishers lure online users to visit …
Phishing hybrid feature-based classifier by using recursive features subset selection and machine learning algorithms
Abstract Machine learning classifiers enriched the anti-phishing schemes with effective
phishing classification models. However, they were constrained by their deficiency of …
phishing classification models. However, they were constrained by their deficiency of …