Authors:
Guanyao Du
;
Chun Long
;
Jianjun Yu
;
Wei Wan
;
Jing Zhao
and
Jinxia Wei
Affiliation:
Computer Network Information Center, Chinese Academy of Sciences, 4 Zhongguancun Nansijie, Haidian District Beijing 100190 and China
Keyword(s):
Network Security Situation Monitoring, Big Data, Real Time Computation, Visualization.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Coupling and Integrating Heterogeneous Data Sources
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Information Technologies Supporting Learning
;
Security
;
Security and Privacy
Abstract:
In this paper, we provide a real-time calculation and visualization framework for network security situation monitoring based on big data technology, and it mainly realizes the real-time massive multi-dimensional network attack dynamic display with Data-Driven Documents (D3). Firstly, we propose an integration and storage management mechanism of massive heterogeneous multi-source data for the network security data fusion. Then, we provide a general real time data computation and visualization framework for massive network security data. Based on the framework, we use the real security data of the network security cloud service platform of Chinese Academy of Sciences (CAS) to realize the visualization monitoring of network security dynamic attacks nationwide and worldwide, respectively. Experiment results are given to analyze the performance of our proposed framework on the efficiency of the data integration and computation stages.