Visually Interactive Security Analysis of BigIP
Date Issued
2014
Date
2014
Author(s)
Wu, Chang-min
Abstract
As the network volume growing rapidly, there should have much more complicated network activities and security problems. How to store the big volume of network traffic and to access the data as soon as possible for security analysis is a challenging work. For example, in the analysis of real-time information security events, it requires past huge NetFlow data for analysis. In the face of rapidly growing trends for NetFlow data, information security managers need a new set of data management, computing architectures, models and methods to achieve the requirements.
This paper will present a cloud-based architecture, network communications activity massive data management system, with “Column-based Segmentation”, “Directory path hierachy”, “Deduplication”. Proposed a comprehensive framework to help managers in accordance with giant, micro-dimensional of data analysis to rapidly retrieve relative past NetFlow data. This network communications activity massive data management system could provide queries and show views of network communication activities easily, clearly and quickly.
Keywords: could computing, Column-based Segmentation, Directory path hierachy, Deduplication, big data
Subjects
雲端計算
行導向儲存
階層式檔案路徑
資料重複壓縮
巨量資料
Type
thesis
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