A network security situation prediction model based on wavelet neural network with optimized parameters-Reference-Cited by-同舟云学术

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A network security situation prediction model based on wavelet neural network with optimized parameters

Published:2016-08 Issue:3 Volume:2 Page:139-144
ISSN:2352-8648
Container-title:Digital Communications and Networks
language:en
Short-container-title:Digital Communications and Networks

Author:

Zhang Haibo,Huang Qing,Li Fangwei,Zhu Jiang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Science and Technology Commission

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Research Fund for Young Scholars of Chongqing University of Posts and Telecommunications

Science Research Starting Foundation of Chongqing University of Posts and Telecommunications

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture

Reference28 articles.

1. A real-time big data gathering algorithm based on indoor wireless sensor networks for risk analysis of industrial operations;Ding;IEEE Trans. Ind. Inf.,2016

2. Big data analytics in mobile cellular networks;He;IEEE Access,2016

3. P. Chopade, J. Zhan, M. Bikdash, Node attributes and edge structure for large-scale big data network analytics and community detection, in: Proceedings of the 2015 IEEE International Symposium on technologies for Homeland Security (HST), 2015, pp. 1–8.

4. A hierarchical packet forwarding mechanism for energy harvesting wireless sensor networks;Wu;IEEE Commun. Mag.,2015

5. Quality of protection (QoP)-driven data forwarding for intermittently connected wireless networks;Wu;IEEE Wirel. Commun.,2015

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