The Application of Data Fusion Technology Based on Neural Network in the Dynamic Risk Assessment

By Chen Xiaorong, Ni Dan, Wang Yingc. 2012

5 citations recorded by the source corpus.

Abstract As As electric network being intelligent, risk assessment of power information system has faced with a lot of hidde dangers of information security. Based on diversified tools for network security management, this paper proposes to fuses a variety of information sources and then output the results of classification. This method provides information of credible threat and vulnerabilities.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wenxiu Ding
2. Zheng Yan
3. Xuyang Jing
4. Laurence Tianruo Yang

In Electrical and Electronic Engineering

1. Zheng Yan
2. Laurence Tianruo Yang
3. Wenxiu Ding
4. Xuyang Jing

In Information Systems

1. Wenxiu Ding
2. Zheng Yan
3. Laurence Tianruo Yang

Citations in the corpus

• A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “3 - - Y Y N [45] Data injection detection Line power flow K-means or EM IEEE 39 bus - - - - - Y Y [87] False data injection detection Stste estimation Spatiotemporal cyber-state correlation US smart grid Y N - - - N Y [88] Fault Diagnosis Circuit Breakers data and voltage data OWA, ANN, IEEE 14-bus ”