Title:
ANOMALY DETECTION METHOD FOR WIRELESS SENSOR NETWORK
Document Type and Number:
WIPO Patent Application WO/2021/243848
Kind Code:
A1
Abstract:
Disclosed in the present invention is an anomaly detection method for a wireless sensor network. The method is based on a fusion theory, and fuse a fuzzy twin support vector machine and a self-adaptive iterative optimization wireless sensor network anomaly detection system, mainly aims to solve the problems of low anomaly detection efficiency, low precision and weak generalization capability of a current wireless sensor network. As proved by tests, the system shows strong detection capability, higher classification accuracy and wider application scenarios. With strong generalization capability, the system can be widely used in many anomaly detection environments of wireless sensor networks, and improves the accuracy and efficiency of detection.
Inventors:
QU HONGCHUN (CN)
JIANG ZHENGFENG (CN)
JIA LINA (CN)
CAO ZHIHAO (CN)
XU LI (CN)
JIANG ZHENGFENG (CN)
JIA LINA (CN)
CAO ZHIHAO (CN)
XU LI (CN)
Application Number:
PCT/CN2020/108778
Publication Date:
December 09, 2021
Filing Date:
August 13, 2020
Export Citation:
Assignee:
UNIV ZAOZHUANG (CN)
International Classes:
G06K9/62
Domestic Patent References:
| WO2018126984A2 | 2018-07-12 |
Foreign References:
| CN110287896A | 2019-09-27 | |||
| CN108876001A | 2018-11-23 | |||
| CN110568127A | 2019-12-13 | |||
| CN110072205A | 2019-07-30 |
Attorney, Agent or Firm:
JINAN SPRINGS PATENT & TRADEMARK OFFICE (CN)
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