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Research On Cybersecurity Analysis Method For Big Data

Posted on:2017-09-20Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhouFull Text:PDF
GTID:2348330491950801Subject:Software engineering
Abstract/Summary:PDF Full Text Request
The development of the Internet has given rise to the emergence of cloud computing platform. Cloud services, cloud architecture, cloud storage and a series of solving large-scale data computing platform have been initially formed a system specification. In the network, the data volume of the application service is rising fast,the network security event grows quickier more than once upon a time, and there is also the explosive growth nowadays. As people dependent on the Internet, the harm brought by the economic or national security which is caused by the network intrusion behavior and the attacktion of the network infrastructure is greatly enhanced.How to accurately found the existing abnormal flow behavior in the large-scale network in real time, and effectively solve the problem of security is a very meaningful topic.Based on spark as the basic framework,this paper puts forword naivebayes and cart decision tree algorithm. Extract the main characteristics of attack data value to observe results.This article designed network security platform based on cloud platform. To tests the above detection method of network security laboratory, verify its validity.
Keywords/Search Tags:Big Data Analysis Platform, DDo S attacks, Spark Mllib, Naive Bayes and Cart Decision Tree
PDF Full Text Request
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