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Zhe Li thesis(1).pdf (1.18 MB)
ETD Abstract Container
Abstract Header
A Neural Network Based Distributed Intrusion Detection System on Cloud Platform
Author Info
Li, Zhe
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364835027
Abstract Details
Year and Degree
2013, Master of Science in Engineering, University of Toledo, Engineering (Computer Science).
Abstract
Intrusion detection system (IDS) is an important component to maintain network security. Also, as the cloud platform is quickly evolving and becoming more popular in our everyday life, it is useful and necessary to build an effective IDS for the cloud. However, existing intrusion detection techniques will be likely to face challenges when deployed on the cloud platform. The pre-determined IDS architecture may lead to overloading of a part of the cloud due to the extra detection overhead. This thesis proposes a neural network based IDS, which is a distributed system with an adaptive architecture, so as to make full use of the available resources without overloading any single machine in the cloud. Moreover, with the machine learning ability from the neural network, the proposed IDS can detect new types of attacks with fairly accurate results. Evaluation of the proposed IDS with the KDD dataset on a physical cloud testbed shows that it is a promising approach to detecting attacks in the cloud infrastructure.
Committee
Lingfeng Wang (Committee Chair)
Weiqing Sun (Committee Co-Chair)
Richard Molyet (Committee Member)
Pages
71 p.
Subject Headings
Computer Engineering
;
Computer Science
Keywords
Distributed IDS
;
Neural network
;
Cloud security
;
Anomaly detection
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Citations
Li, Z. (2013).
A Neural Network Based Distributed Intrusion Detection System on Cloud Platform
[Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364835027
APA Style (7th edition)
Li, Zhe.
A Neural Network Based Distributed Intrusion Detection System on Cloud Platform.
2013. University of Toledo, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364835027.
MLA Style (8th edition)
Li, Zhe. "A Neural Network Based Distributed Intrusion Detection System on Cloud Platform." Master's thesis, University of Toledo, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1364835027
Chicago Manual of Style (17th edition)
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Document number:
toledo1364835027
Download Count:
2,810
Copyright Info
© 2013, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.