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

