Results 171 to 180 of about 2,301 (212)

An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL). [PDF]

open access: yesPLoS One
Sankaranarayanan S   +4 more
europepmc   +1 more source

Incident-aware smart prioritization framework for penetration testing and prevention of URL-based cybersecurity attacks in industry 4.0 IoT networks. [PDF]

open access: yesSci Rep
Nurlan Z   +7 more
europepmc   +1 more source

Phishing in Style: Characterizing Phishing Websites in the Wild

open access: yes2023 7th Network Traffic Measurement and Analysis Conference (TMA), 2023
The prevalence of phishing domains is steadily rising as attackers exploit toolkits to create phishing websites. As web development expertise is no longer a prerequisite, phishing attacks have become more widespread, outpacing many existing detection ...
David Hasselquist   +3 more
openaire   +2 more sources

An Optimized Stacking Ensemble Model for Phishing Websites Detection [PDF]

open access: yesElectronics (Switzerland), 2021
Security attacks on legitimate websites to steal users’ information, known as phishing attacks, have been increasing. This kind of attack does not just affect individuals’ or organisations’ websites.
Mohammed Al-Sarem   +2 more
exaly   +2 more sources

A literature survey on anti-phishing in websites

Proceedings of the 4th International Conference on Networking, Information Systems & Security, 2021
Abstract. Phishing and fraud sites have been widespread on the internet in recent times, which's become a source of great concern and a serious cybersecurity problem, as internet fraudsters target sensitive data and personal information of users, especially the username and password. Numerous approaches have been proposed and used to prevent and reduce
Rania Zaimi   +2 more
openaire   +1 more source

Detection of Phishing Websites

2023
Phishing attacks are one of the biggest security threats to personal and financial information on the internet. They are a type of cyber-attack where attackers pretend to be a trusted entity in order to trick people into revealing sensitive information, such as passwords and credit card numbers.
Lakshmipathi Gejjala   +3 more
openaire   +1 more source

Fresh-Phish: A Framework for Auto-Detection of Phishing Websites

2017 IEEE International Conference on Information Reuse and Integration (IRI), 2017
Denizens of the Internet are coming under a barrage of phishing attacks of increasing frequency and sophistication. Emails accompanied by authentic looking websites are ensnaring users who, unwittingly, hand over their credentials compromising both their privacy and security.
Hossein Shirazi   +2 more
openaire   +1 more source

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