Results 51 to 60 of about 3,253,884 (197)

Detecting phishing websites using machine learning technique.

open access: yesPLoS ONE, 2021
In recent years, advancements in Internet and cloud technologies have led to a significant increase in electronic trading in which consumers make online purchases and transactions.
Ashit Kumar Dutta
doaj   +1 more source

“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India

open access: yesRegulation &Governance, EarlyView.
ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe   +2 more
wiley   +1 more source

samroberts58/Phishing-Website-Metadata-Analysis: Phishing Website Metadata Analysis

open access: yes, 2018
<p>Data mining project intended to classify and predict geographical location based on other metadata available within a phishing website data set.</p> <p><a href="https://github.com/samroberts58/Phishing-Website-Metadata-Analysis ...
Samantha Roberts
core   +1 more source

Multilayer Stacked Ensemble Learning Model to Detect Phishing Websites

open access: yesIEEE Access, 2022
Phishing is a cyber attack that tricks the online users into revealing sensitive information with a fake website imitating a legitimate website. The attackers with stolen credentials not only use them for the targeted website but also can be used for ...
Lakshmana Rao Kalabarige   +3 more
doaj   +1 more source

Model‐Based Cybersecurity: Automating Common Vulnerabilities Reporting

open access: yesSystems Engineering, Volume 29, Issue 5, Page 936-948, September 2026.
ABSTRACT The Common Vulnerabilities and Exposures (CVE) Program's mission is to identify, define, and catalog publicly disclosed cybersecurity vulnerabilities. A cybersecurity practitioner who suspects a software, hardware, or service vulnerability, can initiate a CVE‐ID Requesting process, as defined by MITRE.
Ahmad Jbara, Dov Dori
wiley   +1 more source

Affordances, dread, and online fraud: Exploring and advancing social learning theory in online contexts

open access: yesCriminology, Volume 64, Issue 3, Page 698-733, August 2026.
Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley   +1 more source

Fighting internet fraud: anti-phishing effectiveness for phishing websites detection [PDF]

open access: yes, 2009
Recently, the Internet has become a very important medium of communication. Many people go online and conduct a wide range of business. They can sell and buy goods, perform different banking activities and even participate in political and social ...
Alnajim, Abdullah M.
core  

A Comprehensive Systematic Review of Cyber‐Physical Systems Security: Threats, Challenges, and Defense in ICS/OT Environments

open access: yesEngineering Reports, Volume 8, Issue 7, July 2026.
Overview of the paper organization, illustrating the hierarchical structure of cybersecurity domains in ICS and CPS, including attack analysis, security approaches, offensive tactics, career guidance, and concluding discussions. ABSTRACT The convergence of operational technology (OT) with IP‐based information systems has exposed industrial control ...
M. A. Khalifa   +2 more
wiley   +1 more source

Component features based enhanced phishing website detection system using EfficientNet, FH-BERT, and SELU-CRNN methods

open access: yesFrontiers in Computer Science
IntroductionPhishing is a type of cybercrime used by hackers to steal sensitive user information, making it essential to detect phishing attacks on websites.
Mahmoud Murhej, G. Nallasivan
doaj   +1 more source

Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.
The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García   +4 more
wiley   +1 more source

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