Results 61 to 70 of about 3,253,884 (197)
Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
Advancement of the Internet has increased security risks associated with data protection and online shopping. Several techniques compromise Internet security, including hacking, SQL injection, phishing attacks, and DNS tunneling.
Shakeel Ahmad +6 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
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
Design of Automated Website Phishing Detection using Sequential Mechanism of RCL Algorithm [PDF]
The phishing outbreaks in internet has become a major problem in web safety in recent years. The phishers will be stealing crucial economic data regarding the web user to perform economic break-in.
C. Rajeswary, et al.
core +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
A Deep Learning-Based Framework for Phishing Website Detection
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
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
Life-long phishing attack detection using continual learning
Phishing is an identity theft that employs social engineering methods to get confidential data from unwary users. A phisher frequently attempts to trick the victim into clicking a URL that leads to a malicious website.
Asif Ejaz +2 more
doaj +1 more source
Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification
Overview of the proposed RF–ViT ensemble for multi‐class malware classification. Textual (BoW/byte‐frequency) and visual representations are combined via a product rule, achieving improved accuracy and robustness over individual models. ABSTRACT Malware remains a significant concern for modern digital systems, increasing the need for reliable and ...
Fadi Makarem +4 more
wiley +1 more source
Phishing and Spoofing Websites: Detection and Countermeasures
Website phishing and spoofing occur when unsuspecting users are tricked into interacting with a fraudulent website designed to impersonate a legitimate one. This is done with the intention of stealing login credentials or other personal information. The goal of this project is to develop a multi-layered URL-based malicious website detection system to ...
Wee Liem Lai +3 more
openaire +2 more sources

