Results 21 to 30 of about 9,881 (133)
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
Phishing Website Detection Using ML
Phishing is one kind of cyber-attack , it is a most dangerous and common attack to retrieve personal information, account details, credit card credentials, organizational details or password of a client to conduct transactions. Phishing websites seem to like the relevant ones and it is difficult to differentiate among those websites.
Nikhil K +2 more
openaire +1 more source
Leverage Website Favicon to Detect Phishing Websites [PDF]
Phishing attack is a cybercrime that can lead to severe financial losses for Internet users and entrepreneurs. Typically, phishers are fond of using fuzzy techniques during the creation of a website. They confuse the victim by imitating the appearance and content of a legitimate website.
Kang Leng Chiew +3 more
openaire +2 more sources
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
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies [PDF]
Phishing is a form of electronic identity theft in which a combination of social engineering and web site spoofing techniques are used to trick a user into revealing confidential information with economic value.
Aburrous, Maher +3 more
core +1 more source
An Enhanced Anti-phishing Scheme to Detect Phishing Website
AbstractPhishing is a network attack in which attacker generates a replica of current legitimate site to contrivance the users into submitting their personal and sensitive information. A good anti-phishing solution should have rapid access time and rapid detection rate, but most of the existing solutions fail to satisfy it.
Vani Rajasekar +4 more
openaire +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
Intelligent phishing website detection system using fuzzy techniques. [PDF]
Phishing websites are forged web pages that are created by malicious people to mimic web pages of real websites and it attempts to defraud people of their personal information.
Aburrous, Maher R. +3 more
core +1 more source
Detecting Phishing Website using Machine Learning
Phishing attacks continue to pose a major threat for computer system defenders, often forming the first step in a multi-stage attack. There have been great strides made in phishing detection; however, some phishing emails appear to pass through filters by making simple structural and semantic changes to the messages.
null Prof. K. S. Mulani +4 more
openaire +1 more source
Phishing attacks have become one of the powerful sources for cyber criminals to impose various forms of security attacks in which fake website Uniform Resource Locators (URL) are circulated around the Internet community in the form of email, messages etc.
Manoj Kumar Prabakaran +2 more
doaj +1 more source

