Invention Grant
- Patent Title: Mechanisms to prevent anomaly detectors from learning anomalous patterns
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Application No.: US15180675Application Date: 2016-06-13
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Publication No.: US10220167B2Publication Date: 2019-03-05
- Inventor: Grégory Mermoud , Jean-Philippe Vasseur , Pierre-André Savalle
- 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: Parker Ibrahim & Berg LLP
- Agent James M. Behmke; Stephen D. LeBarron
- Main IPC: H04L29/06
- IPC: H04L29/06 ; A61M15/00 ; H04L29/08 ; A61M11/00 ; A61M16/00 ; A61K9/00 ; A61K31/58 ; A61M16/14 ; G06F19/00

Abstract:
In one embodiment, a device in a network detects an anomaly in the network by analyzing a set of sample data regarding one or more conditions of the network using a behavioral analytics model. The device receives feedback regarding the detected anomaly. The device determines that the anomaly was a true positive based on the received feedback. The device excludes the set of sample data from a training set for the behavioral analytics model, in response to determining that the anomaly was a true positive.
Public/Granted literature
- US20170279830A1 MECHANISMS TO PREVENT ANOMALY DETECTORS FROM LEARNING ANOMALOUS PATTERNS Public/Granted day:2017-09-28
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