Systems and methods for generating a threat classifier to determine a malicious process
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United States of America Patent
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Jul 8, 2014
Grant Date -
N/A
app pub date -
Aug 18, 2009
filing date -
Aug 20, 2008
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Abstract
A computer-implemented method for generating a threat classifier is described. A parameter collection module is distributed to a plurality of client processing systems. The module comprises a set of rules to detect a behavior in the client processing systems. If one or more of the set of rules are satisfied, input data indicative of a plurality of client processing parameters is received. The input data is scaled to provide a plurality of parameter vectors. Each of the parameter vectors are classified as a threat or a non-threat. A machine learning process is performed on at least one of the classified parameter vectors. The threat classifier is generated from the machine learning process. The threat classifier is transferred to at least one client processing system. The threat classifier is configured to automatically determine if a process to be performed in a client processing system is malicious.
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