Results 51 to 60 of about 3,253,884 (197)
Detecting phishing websites using machine learning technique.
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
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
<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
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
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
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]
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
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
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
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

