Invention Grant
- Patent Title: Bayesian tree aggregation in decision forests to increase detection of rare malware
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Application No.: US15648563Application Date: 2017-07-13
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Publication No.: US10356117B2Publication Date: 2019-07-16
- Inventor: Jan Brabec , Lukas Machlica
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James Behmke; Stephen D. LeBarron
- Main IPC: G06F21/55
- IPC: G06F21/55 ; G06N7/00 ; H04L29/06 ; G06N20/00

Abstract:
In one embodiment, a computing device provides a feature vector as input to a random decision forest comprising a plurality of decision trees trained using a training dataset, each decision tree being configured to output a classification label prediction for the input feature vector. For each of the decision trees, the computing device determines a conditional probability of the decision tree based on a true classification label and the classification label prediction from the decision tree for the input feature vector. The computing device generates weightings for the classification label predictions from the decision trees based on the determined conditional probabilities. The computing device applies a final classification label to the feature vector based on the weightings for the classification label predictions from the decision trees.
Public/Granted literature
- US20190020670A1 BAYESIAN TREE AGGREGATION IN DECISION FORESTS TO INCREASE DETECTION OF RARE MALWARE Public/Granted day:2019-01-17
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