A Machine Learning Model for Predicting Phishing Websites
There are various types of cybercrime, and hackers often target specific ones for different
reasons, such as financial gain, recognition, or even revenge. Cybercrimes can occur …
reasons, such as financial gain, recognition, or even revenge. Cybercrimes can occur …
[PDF][PDF] A MALICIOUS URL DETECTION FRAMEWORK USING PRIORITY COEFFICIENT AND FEATURE EVALUATION
AS RAFSANJANI - 2023 - eprints.utm.my
ABSTRACT Malicious Uniform Resource Locators (URLs) are one of the major threats in
cybersecurity. Cyber attackers spread malicious URLs to carry out attacks such as phishing …
cybersecurity. Cyber attackers spread malicious URLs to carry out attacks such as phishing …
Analysis for malicious URLs using machine learning and deep learning approaches
SK Birthriya, AK Jain - Proceedings of the International Conference on …, 2021 - Springer
Abstract The Malicious Uniform Resource Locator (URL) is the primary mechanism for
hosting unsolicited content, for example, spam, malicious ads, phishing, drive-outs, etc …
hosting unsolicited content, for example, spam, malicious ads, phishing, drive-outs, etc …
Enhancing Malicious Url Detection: A Novel Framework Leveraging Priority Coefficient and Feature Evaluation
A Sahban Rafsanjani, N Kamaruddin, M Behjati… - Norshaliza and Behjati … - papers.ssrn.com
Abstract Malicious Uniform Resource Locators (URLs) pose a significant cybersecurity threat
by carrying out attacks such as phishing and malware propagation. Conventional malicious …
by carrying out attacks such as phishing and malware propagation. Conventional malicious …
[PDF][PDF] Deep Learning for Phishing Detection: Taxonomy, Current Challenges and Future Directions
E HERRERA-VIEDMA - eprints.utm.my
Phishing has become an increasing concern and captured the attention of end-users as well
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
as security experts. Existing phishing detection techniques still suffer from the deficiency in …
Investigating the Security of Emerging Web Technologies and their Role in Social Engineering Attacks
K Subramani - 2021 - search.proquest.com
Owing to the drastic increase in the number of Internet users, web applications are moving
towards providing a native-app like user experience. This transition has in turn given rise to …
towards providing a native-app like user experience. This transition has in turn given rise to …
[PDF][PDF] A Critical Study of Social Engineering vis-a-vis Phishing Attacks
NB Andaluri, A Srivastava, R Andaluri - 2023 - researchgate.net
The present study aims to present a Critical & Exploitable pattern used in Social Engineering
attacks vis-a-vis Phishing attacks and different ways to counter measure those attacks. The …
attacks vis-a-vis Phishing attacks and different ways to counter measure those attacks. The …
[HTML][HTML] IEEE Access
NQ Do - studfile.net
technologies in a hybrid approach are new research directions for phishing detection. Based
on the above analysis, we believe that this study will serve as a valuable reference for …
on the above analysis, we believe that this study will serve as a valuable reference for …
[PDF][PDF] The semantics of persuasion: a case study using phishing emails
JJ van der Laan - 2021 - unbscholar.lib.unb.ca
As of 2021, phishing emails continue to be the primary means by which network breaches
are facilitated. Notwithstanding the development of many tools to detect and block incoming …
are facilitated. Notwithstanding the development of many tools to detect and block incoming …
An Implementation of an Algorithm for Information Theft Using Deep Learning Techniques: An Ethical Hacking Event
CA Estrada, W Fuertes, JD Castro… - … Congress on Science …, 2021 - Springer
Ethical hacking is modern data protection and prevention technique proper to prevent
information losses. Under this precept, this study aims to design and implement an algorithm …
information losses. Under this precept, this study aims to design and implement an algorithm …