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  5. InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data
Details

InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data

Date Issued
August 1, 2017
Author(s)
Kodituwakku, Hansaka Angel Dias Edirisinghe  
Advisor(s)
Jens Gregor
Additional Advisor(s)
Mark E. Dean
Audris Mockus
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/41065
Abstract

Monitoring systems are paramount to the proactive detection and mitigation of problems in computer networks related to performance and security. Degraded performance and compromised end-nodes can cost computer networks downtime, data loss and reputation. InSight2 is a platform that models, analyzes and visualizes large scale Argus network flow data using up-to-date geographical data, organizational information, and emerging threats. It is engineered to meet the needs of network administrators with flexibility and modularity in mind. Scalability is ensured by devising multi-core processing by implementing robust software architecture. Extendibility is achieved by enabling the end user to enrich flow records using additional user provided databases. Deployment is streamlined by providing an automated installation script. State-of-the-art visualizations are devised and presented in a secure, user friendly web interface giving greater insight about the network to the end user.

Subjects

insight2

noc

performance

analytics

visualization

markov chains

Degree
Master of Science
Major
Computer Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

Thesis_FINAL.pdf

Size

6.82 MB

Format

Adobe PDF

Checksum (MD5)

d14afd90248eb47c42bb40eef3c55a8e


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