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Application of Machine Learning and Crowdsourcing to Detection of Cybersecurity Threats (Computer Project)

We are applying machine learning and crowdsourcing to cybersecurity, with the purpose to develop a toolkit for detection of complex cyber threats, which are often undetectable by traditional tools. It will serve as an “extra layer of armor ” that supplements the standard defenses.

The initial results include (1) an architecture for sharing security warnings among users and (2) machine learning techniques for identifying malicious websites.
Source: The Pennsylvania State University
Author: Eugene Fink | Mehrbod Sharifi | Jaime G.Carbonell

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