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Automatic detection method of OSN content vulnerabilities based on big data analysis

Automatic detection method of OSN content vulnerabilities based on big data analysis In order to realise the accurate and automatic detection of optical switch network (OSN) content vulnerability, an automatic detection method of OSN content vulnerability based on big data analysis is proposed. First, build OSN content vulnerability big data distribution model. Then, the detection statistics of its big data distribution are established. The association rule feature quantity of statistical time series is extracted for the data, and the association rule item of OSN content vulnerability is analysed by principal component analysis (PCA). Finally, fuzzy information clustering method is used to detect the location of OSN content vulnerability. The simulation results show that the method has the advantages of high precision, strong anti-interference ability and low time cost, and improves the safety and leakage-proof capability of the OSN content. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Autonomous and Adaptive Communications Systems Inderscience Publishers

Automatic detection method of OSN content vulnerabilities based on big data analysis

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1754-8632
eISSN
1754-8640
DOI
10.1504/IJAACS.2020.109812
Publisher site
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Abstract

In order to realise the accurate and automatic detection of optical switch network (OSN) content vulnerability, an automatic detection method of OSN content vulnerability based on big data analysis is proposed. First, build OSN content vulnerability big data distribution model. Then, the detection statistics of its big data distribution are established. The association rule feature quantity of statistical time series is extracted for the data, and the association rule item of OSN content vulnerability is analysed by principal component analysis (PCA). Finally, fuzzy information clustering method is used to detect the location of OSN content vulnerability. The simulation results show that the method has the advantages of high precision, strong anti-interference ability and low time cost, and improves the safety and leakage-proof capability of the OSN content.

Journal

International Journal of Autonomous and Adaptive Communications Systems – Inderscience Publishers

Published: Jan 1, 2020

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