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 passwords, as
well as other information entered via a web site. The authors of A
Machine-Learning Approach to Phishing Detetion and Defense have
conducted research to demonstrate how a machine learning algorithm
can be used as an effective and efficient tool in detecting
phishing websites and designating them as information security
threats. This methodology can prove useful to a wide variety of
businesses and organizations who are seeking solutions to this
long-standing threat. A Machine-Learning Approach to Phishing
Detetion and Defense also provides information security researchers
with a starting point for leveraging the machine algorithm approach
as a solution to other information security threats.
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