Invention Grant
- Patent Title: Anomaly detection in a sensor network
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Application No.: US15828105Application Date: 2017-11-30
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Publication No.: US10776191B2Publication Date: 2020-09-15
- Inventor: Yu Ling Zheng , Xiao Xing Liang , Yu Chen Zhou , Ning Zhang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Patterson + Sheridan, LLP
- Main IPC: G06F11/07
- IPC: G06F11/07 ; G06F17/18 ; G06F17/14 ; G06K9/00 ; G06F17/10

Abstract:
A method, system, and computer product for anomaly detection in a sensor network. The method comprises: receiving measurements from a plurality of sensors in the sensor network. The method further comprises performing a graph Fourier transform on the measurements to obtain a spectrum. The graph Fourier transform is defined by a graph structure generated from the plurality of sensors. The method further comprises generating an anomaly alert in response to high frequency components of the spectrum exceeding a first threshold.
Public/Granted literature
- US20190163555A1 ANOMALY DETECTION IN A SENSOR NETWORK Public/Granted day:2019-05-30
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