Invention Grant
- Patent Title: Learning internal ranges from network traffic data to augment anomaly detection systems
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Application No.: US15263487Application Date: 2016-09-13
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Publication No.: US10404728B2Publication Date: 2019-09-03
- Inventor: Laurent Sartran , Sébastien Gay , Pierre-André Savalle , Grégory Mermoud , 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: H04L29/06
- IPC: H04L29/06 ; H04L12/24 ; H04L12/26
Abstract:
In one embodiment, a device in a network receives traffic records indicative of network traffic between different sets of host address pairs. The device identifies one or more address grouping constraints for the sets of host address pairs. The device determines address groups for the host addresses in the sets of host address pairs based on the one or more address grouping constraints. The device provides an indication of the address groups to an anomaly detector.
Public/Granted literature
- US20180077182A1 LEARNING INTERNAL RANGES FROM NETWORK TRAFFIC DATA TO AUGMENT ANOMALY DETECTION SYSTEMS Public/Granted day:2018-03-15
Information query
