Invention Grant
- Patent Title: Private-learned IDS
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Application No.: US15643573Application Date: 2017-07-07
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Publication No.: US10708284B2Publication Date: 2020-07-07
- Inventor: Martin Kopp , Petr Somol , Tomas Pevny , David McGrew
- 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 M. Behmke; Jonathon P. Western
- Main IPC: H04L29/06
- IPC: H04L29/06 ; G06N99/00 ; G06F3/01 ; G06N20/00 ; G06N20/20 ; G06N5/04

Abstract:
In one embodiment, a device in a network maintains a plurality of machine learning-based detectors for an intrusion detection system. Each detector is associated with a different portion of a feature space of traffic characteristics assessed by the intrusion detection system. The device provides data regarding the plurality of detectors to a user interface. The device receives an adjustment instruction from the user interface based on the data provided to the user interface regarding the plurality of detectors. The device adjusts the portions of the feature space associated with the plurality of detectors based on the adjustment instruction received from the user interface.
Public/Granted literature
- US20190014134A1 PRIVATE-LEARNED IDS Public/Granted day:2019-01-10
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