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Review of Various Methods for Phishing Detection
In this modern world where the technology has spread rapidly and the inception of cell phones, computers and also the rate at which internet is being used has increased in all fields both commercial, financial and also individuals.
R. Sakunthala jenni, S. Shankar
doaj +1 more source
Abstract This research examined the relationship between digital competency and perceived organizational support among Nova Scotia public servants and MPA students. Findings revealed a non‐linear developmental progression where reliance on external validation systematically diminished as expertise matures.
Warwick Young, Kristian Suen
wiley +1 more source
Detection and remediation of Turkish phishing websites [PDF]
The rapid development of cyber technologies has made our life easier. Activities such as online banking, e-commerce and, social media have started to become a part of our lives; however, more threat surface has also emerged for attackers to leverage due ...
Sermet, Barış
core +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
ABSTRACT According to the Federal Trade Commission, consumers lost $12.8 billion to fraud in 2024, with actual losses estimated to be as high as $196 billion. Research on financial fraud knowledge is scant, limiting development of effective protection tools.
Duygu Başaran Şahin +6 more
wiley +1 more source
Application of Machine Learning for Real-Time Phishing Attack Detection
Over the years, the Internet has been exploited to carry out a range of cyber attacks, with phishing being the most prominent one. Increasingly sophisticated techniques of phishing have threatened the security of many Internet-based systems.
Akshay Shankar Agrawal +4 more
doaj +1 more source
Sufficiency of Ensemble Machine Learning Methods for Phishing Websites Detection
Phishing is a kind of worldwide spread cybercrime that uses disguised websites to trick users into downloading malware or providing personally sensitive information to attackers.
Yi Wei, Yuji Sekiya
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Abstract Transfusion medicine generates enormous volumes of data across the vein‐to‐vein continuum, spanning donor characteristics, laboratory testing, component manufacturing, logistics and recipient outcomes. The emergence of big data infrastructures, coupled with artificial intelligence (AI), offers a transformative opportunity to harness this ...
Sheharyar Raza +6 more
wiley +1 more source
Classification of Phishing Data Using Hybrid MI-AN Feature Selection Method
Web phishing attacks have been continually evolving over the past few years, which has led customers to lose their trust in online services and e-commerce.
Damodar Patel +3 more
doaj +1 more source
Detection of Phishing Websites
Phishing is a cyber attack in which an attacker creates a copy of an existing web page to trick users into submitting personal, financial or password information, making them think that this is the real website that everyone uses. The strategy followed here is an edge server-based anti-phishing algorithm called “Link Guard” uses the property of ...
Avaneesh C S +3 more
openaire +1 more source

