Results 31 to 40 of about 204,072 (197)

Anti-phishing as a web-based user service [PDF]

open access: yes, 2006
This paper describes the recent phenomenon of phishing, in which email messages are sent to unwitting recipients in order to elicit personal information and perpetrate identity theft and financial fraud.
Weir, G.R.S., Cranston, C.
core   +4 more sources

A new phishing-website detection framework using ensemble classification and clustering [PDF]

open access: yesInternational Journal of Data and Network Science, 2023
Phishing websites are characterized by distinguished visual, address, domain, and embedded features, which identify and defend such threats. Yet, phishing website detection is challenged by overlapping these features with legitimate websites ...
Mohammad A. Alsharaiah   +6 more
doaj   +1 more source

Characteristics of Understanding URLs and Domain Names Features: The Detection of Phishing Websites With Machine Learning Methods

open access: yesIEEE Access, 2022
Along with the means of communication, it has also prompted the birth of more harmful, and challenging websites in the device of information systems, and electronics.
Ilker Kara, Murathan Ok, Ahmet Ozaday
doaj   +1 more source

An Enhanced Anti-phishing Scheme to Detect Phishing Website

open access: yesIOP Conference Series: Materials Science and Engineering, 2021
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

Intelligent phishing detection system for e-banking using fuzzy data mining [PDF]

open access: yes, 2010
Detecting and identifying any phishing websites in real-time, particularly for e-banking, is really a complex and dynamic problem involving many factors and criteria. Because of the subjective considerations and the ambiguities involved in the detection,
Hossain, Alamgir   +5 more
core   +1 more source

A Deep Learning-Based Framework for Phishing Website Detection

open access: yesIEEE Access, 2022
Phishing attackers spread phishing links through e-mail, text messages, and social media platforms. They use social engineering skills to trick users into visiting phishing websites and entering crucial personal information.
Lizhen Tang, Qusay H. Mahmoud
doaj   +1 more source

Phishing Website Detection Using Machine Learning: A Review

open access: yesWasit Journal for Pure Sciences, 2023
Phishing, a form of cyber attack in which perpetrators employ fraudulent websites or emails to Deceive individuals into divulging sensitive information such as passwords or financial data, can be mitigated through various machine-learning algorithms for
marwa al saedi, Nahla Abbas Flayh
doaj   +1 more source

PHISHING URL DETECTION WEBSITE

open access: yesInternational Journal of Innovative Research in Advanced Engineering, 2022
Phishing websites are one of the types of internet security issues that target human vulnerabilities rather than software flaws. It's the technique of luring online users in order to get sensitive information like usernames and passwords. We present an intelligent technique for detecting phishing websites in this research.
Mahalakshmi BR   +3 more
openaire   +1 more source

Assessing the role of conceptual knowledge in an anti-phishing game [PDF]

open access: yes, 2014
Copyright @ 2014 IEEE. This is the author accepted version of this article.Games can be used to support learning and confidence development in several domains, including the secure use of computers.
Nalin Asanka Gamagedara Arachchilage   +8 more
core   +1 more source

A mobile sensing method to counteract social media website impersonation

open access: yesInternational Journal of Distributed Sensor Networks, 2016
Phishing is a serious threat to online users, especially since attackers have tremendously improved their techniques in impersonating important websites. With websites looking visually the same, users are fooled more easily.
Mohamed Y ELMassry, Ahmad S AlMogren
doaj   +1 more source

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