Invention Grant
- Patent Title: Deep learning architecture for collaborative anomaly detection and explanation
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Application No.: US16120529Application Date: 2018-09-04
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Publication No.: US10574512B1Publication Date: 2020-02-25
- Inventor: Grégory Mermoud , David Tedaldi , Jean-Philippe Vasseur
- 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: H04L12/24
- IPC: H04L12/24 ; G06N3/04 ; G06N3/08

Abstract:
In one embodiment, a network assurance service that monitors a network detects a behavioral anomaly in the network using an anomaly detector that compares an anomaly detection threshold to a target value calculated based on a first set of one or more measurements from the network. The service uses an explanation model to predict when the anomaly detector will detect anomalies. The explanation model takes as input a second set of one or more measurements from the network that differs from the first set. The service determines that the detected anomaly is explainable, based on the explanation model correctly predicting the detection of the anomaly by the anomaly detector. The service provides an anomaly detection alert for the detected anomaly to a user interface, based on the detected anomaly being explainable. The anomaly detection alert indicates at least one measurement from the second set as an explanation for the anomaly.
Public/Granted literature
- US20200076677A1 DEEP LEARNING ARCHITECTURE FOR COLLABORATIVE ANOMALY DETECTION AND EXPLANATION Public/Granted day:2020-03-05
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