[PDF][PDF] Improved Phishing Detection using Model-Based Features.
Phishing emails are a real threat to internet communication and web economy. Criminals
are trying to convince unsuspecting online users to reveal passwords, account numbers …
are trying to convince unsuspecting online users to reveal passwords, account numbers …
New filtering approaches for phishing email
A Bergholz, J De Beer, S Glahn… - Journal of computer …, 2010 - content.iospress.com
Phishing emails usually contain a message from a credible looking source requesting a user
to click a link to a website where she/he is asked to enter a password or other confidential …
to click a link to a website where she/he is asked to enter a password or other confidential …
An evaluation of machine learning-based methods for detection of phishing sites
D Miyamoto, H Hazeyama, Y Kadobayashi - Advances in Neuro …, 2009 - Springer
In this paper, we present the performance of machine learning-based methods for detection
of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging …
of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging …
Feature selection for improved phishing detection
Phishing–a hotbed of multibillion dollar underground economy–has become an important
cybersecurity problem. The centralized blacklist approach used by most web browsers …
cybersecurity problem. The centralized blacklist approach used by most web browsers …
[图书][B] A machine-learning approach to phishing detection and defense
IS Amiri, OA Akanbi, E Fazeldehkordi - 2014 - books.google.com
Phishing is one of the most widely-perpetrated forms of cyber attack, used to gather sensitive
information such as credit card numbers, bank account numbers, and user logins and …
information such as credit card numbers, bank account numbers, and user logins and …
[PDF][PDF] Rule-based phishing attack detection
The World Wide Web has become the hotbed of a multi-billion dollar underground economy
among cyber criminals whose victims range from individual Internet users to large …
among cyber criminals whose victims range from individual Internet users to large …
A survey of machine learning algorithms and their application in information security
M Stamp - Guide to vulnerability analysis for computer networks …, 2018 - Springer
A Survey of Machine Learning Algorithms and Their Application in Information Security |
SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal …
SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal …
Challenges and security issues of online social networks (OSN)
A Aldo Tenis, R Santhosh - Mobile Computing and Sustainable Informatics …, 2022 - Springer
In the current scenario, social phishing is the dangerous security issue in Online Social
Networks (OSN), in which the attacker tries to steal user's personal information, account …
Networks (OSN), in which the attacker tries to steal user's personal information, account …
Detection of phishing websites using a novel twofold ensemble model
K Nagaraj, B Bhattacharjee, A Sridhar… - Journal of Systems and …, 2018 - emerald.com
Purpose Phishing is one of the major threats affecting businesses worldwide in current
times. Organizations and customers face the hazards arising out of phishing attacks …
times. Organizations and customers face the hazards arising out of phishing attacks …
Detecting malicious domain names with abnormal whois records using feature-based rules
Millions of new domain names are registered every day, but a large proportion of them are
malicious and usually discovered and blacklisted after the crime has been committed. In …
malicious and usually discovered and blacklisted after the crime has been committed. In …