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Threat early warning and monitoring system and method based on big data analysis and deployment architecture

ActiveCN107196910ARealize acquisitionRealize multi-dimensional graphical and intuitive displayData switching networksFull text searchTime processing
The invention discloses a threat early warning and monitoring system and method based on big data analysis and a deployment architecture. The system comprises a data acquisition system module, which is used for carrying out real-time data acquisition on original network traffic; a data storage system module, which is used for carrying out data merging and data cleaning on the data collected by the data acquisition system module, and then, carrying out storage management; a real-time threat intelligent analysis system module, which is used for carrying out deep analysis and mining on security data through data mining, text analysis, traffic analysis, full-text search engine and real-time processing, and identifying unknown security threats in real time by combining an intrusion detection module, a network abnormal behavior module and a device abnormal behavior module; and a situation awareness display system module, which is used for carrying out comprehensive display on security threat situations stereoscopically in real time through a data visualization tool library. The threat early warning and monitoring system and method based on big data analysis and the deployment architecture are used for network security threat situation awareness and deep analysis under a plurality of service scenarios, and realize comprehensive abilities from attack early warning, attack identification to analysis and evidence obtaining.
Owner:ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +2

Building method of digital copyright tracing system based on block chain and cloud platform

The invention discloses a building method of a digital copyright tracing system based on a block chain and a cloud platform. The method comprises the following steps: designing a general framework of the digital copyright tracing system based on the block chain and the cloud platform; building a block chain consensus mechanism, wherein nodes in the block chain reach a consistent consensus on the aspects of node reliability and data real-time performance; designing a digital content storage way based on the block chain and the cloud platform, wherein the block chain stores a Hash function value formed after dimension reducing processing of digital content, and the cloud platform saves digital content on which a digital content producer performs a digital signature with a private key; building a digital content transaction platform based on the block chain to perform a registration transaction and an authentication transaction of the digital content; and building a digital content copyright tracing model, and performing tracing by using a chain-style relation of a Hash chain in the block chain. Through adoption of the method, safe and effective propagation of digital products can be realized, and the problem that digital content copyrights cannot be traced is solved.
Owner:JINAN UNIVERSITY
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