Results 31 to 40 of about 1,135 (168)

Phishing Website Detection

open access: yesIndian Journal of Data Mining
Phishing websites have emerged as a serious security risk. Phishing is the starting point for many cyberattacks that compromise the confidentiality, integrity, and availability of customer and business data. Decades of effort have gone into developing novel methods for automatically identifying phishing websites.
null Joshma K J, Vineetha Sankar P
  +6 more sources

Detecting Phishing Websites using recent Techniques: A Systematic Literature Review [PDF]

open access: yesITM 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

PhiKitA: Phishing Kit Attacks Dataset for Phishing Websites Identification

open access: yesIEEE 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

Phishing Website Detection

open access: yesInternational Journal of Scientific Research in Science and Technology, 2022
It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity.
null Mr. Tahir Naquash H B   +4 more
openaire   +1 more source

Detection and classification of phishing websites [PDF]

open access: yesTrends in Computer Science and Information Technology, 2021
‘Phishing sites’ are some type of the internet security issues that mainly targets the human vulnerabilities compared to software vulnerabilities. Phishing sites are malicious websites that imitate as legitimate websites or web pages and aim to steal user’s personal credentials like user id, password, and financial information.
Manoj P   +3 more
openaire   +1 more source

Datasets for phishing websites detection

open access: yesData in Brief, 2020
Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text messages, or websites. Phishing websites, which are nowadays in a considerable rise, have the same look as legitimate sites.
Grega Vrbančič   +2 more
openaire   +3 more sources

Comparison of Classification Algorithms for Detection of Phishing Websites [PDF]

open access: yesInformatica, 2020
Phishing activities remain a persistent security threat, with global losses exceeding 2.7 billion USD in 2018, according to the FBI’s Internet Crime Complaint Center. In literature, different generations of phishing websites detection methods have been observed.
Paulius Vaitkevicius   +1 more
openaire   +2 more sources

Cyber-Phishing Website Detection Using Fuzzy Rule Interpolation

open access: yesCryptography, 2022
This paper introduces a novel detection method for phishing website attacks while avoiding the issues associated with the deficiencies of the knowledge-based representation and the binary decision. The suggested detection method was performed using Fuzzy
Mohammad Almseidin   +3 more
doaj   +1 more source

A Lightweight Multi-View Learning Approach for Phishing Attack Detection Using Transformer with Mixture of Experts

open access: yesApplied Sciences, 2023
Phishing poses a significant threat to the financial and privacy security of internet users and often serves as the starting point for cyberattacks.
Yanbin Wang   +4 more
doaj   +1 more source

PDGAN: Phishing Detection With Generative Adversarial Networks

open access: yesIEEE Access, 2022
Phishing is a harmful online attack that could lead to identity theft and financial damages. The demand for high-accuracy phishing detection tools has risen due to the increase of online electronic services and payment systems.
Saad Al-Ahmadi   +2 more
doaj   +1 more source

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