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An Empirical Study of Ordinal and Non-ordinal Classification Algorithms for Intrusion Detection in WLANs
Title
An Empirical Study of Ordinal and Non-ordinal Classification Algorithms for Intrusion Detection in WLANs.
Creator
Gopalakrishnan, Leelakrishnan, Khoshgoftaar, Taghi M., Florida Atlantic University
Abstract/Description
Ordinal classification refers to an important category of real world problems, in which the attributes of the instances to be classified and the classes are linearly ordered. Many applications of machine learning frequently involve situations exhibiting an order among the different categories represented by the class attribute. In ordinal classification the class value is converted into a numeric quantity and regression algorithms are applied to the transformed data. The data is later...
Show moreOrdinal classification refers to an important category of real world problems, in which the attributes of the instances to be classified and the classes are linearly ordered. Many applications of machine learning frequently involve situations exhibiting an order among the different categories represented by the class attribute. In ordinal classification the class value is converted into a numeric quantity and regression algorithms are applied to the transformed data. The data is later translated back into a discrete class value in a postprocessing step. This thesis is devoted to an empirical study of ordinal and non-ordinal classification algorithms for intrusion detection in WLANs. We used ordinal classification in conjunction with nine classifiers for the experiments in this thesis. All classifiers are parts of the WEKA machinelearning workbench. The results indicate that most of the classifiers give similar or better results with ordinal classification compared to non-ordinal classification.
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Date Issued
2006
PURL
http://purl.flvc.org/fau/fd/FA00012521
Subject Headings
Wireless LANs--Security measures, Computer networks--Security measures, Data structures (Computer science), Multivariate analysis
Format
Document (PDF)
Range assignment problem and security in wireless networks
Title
Range assignment problem and security in wireless networks.
Creator
Pervaiz, Mohammad O., Florida Atlantic University, Cardei, Mihaela, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
This thesis considers two important issues in wireless networks. In first part, we address Energy-Efficient Range Assignment in Heterogeneous Wireless Sensor Networks (HRA) and in second part, we present a survey on security attacks in ad hoc wireless networks. We address the HRA problem by selecting the transmission range for each energy-constraint sensor node such that a multi-hop communication path exists between each sensor' node and a resource-rich supernode while maximum power required...
Show moreThis thesis considers two important issues in wireless networks. In first part, we address Energy-Efficient Range Assignment in Heterogeneous Wireless Sensor Networks (HRA) and in second part, we present a survey on security attacks in ad hoc wireless networks. We address the HRA problem by selecting the transmission range for each energy-constraint sensor node such that a multi-hop communication path exists between each sensor' node and a resource-rich supernode while maximum power required is minimized. This is the first work to address this problem. We propose several solutions: an Integer Programming approach, a distributed greedy protocol, and a minimum spanning tree protocol based on clustering. In second part of this thesis, a survey is carried out on security attacks on routing protocols in ad hoc wireless network. We examine and classify major routing attacks and present a comprehensive survey on the state-of-the-art mechanisms and solutions designed to defeat such attacks.
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Date Issued
2006
PURL
http://purl.flvc.org/fcla/dt/13341
Subject Headings
Wireless communication systems--Security measures, Sensor networks, Wireless LANs--Security measures, Power resources--Efficiency
Format
Document (PDF)
Mitigating worm propagation on virtual LANs
Title
Mitigating worm propagation on virtual LANs.
Creator
Sun, Xiaoguang., Florida Atlantic University, Rajput, Saeed, Hsu, Sam, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Recent worms have used sophisticated propagation techniques to propagate faster than the patch distribution and have utilized previously unknown vulnerabilities. To mitigate repetition of such epidemics in future, active defense mechanisms are needed that not only identify malicious activity, but can also defend against widespread outbreak. We provide a framework capable of reacting quickly to quarantine infections. The fundamental components of our framework are detector and VLAN switch. We...
Show moreRecent worms have used sophisticated propagation techniques to propagate faster than the patch distribution and have utilized previously unknown vulnerabilities. To mitigate repetition of such epidemics in future, active defense mechanisms are needed that not only identify malicious activity, but can also defend against widespread outbreak. We provide a framework capable of reacting quickly to quarantine infections. The fundamental components of our framework are detector and VLAN switch. We have provided a proof of concept implementation, where we use the Blaster worm as an example, and demonstrate that detection of worms is possible, and individual infected hosts can be isolated quickly. Furthermore, using Monte Carlo simulations, we show that such containment of future epidemics is possible. In addition, we also compute the overhead of detection and mitigation approaches and have shown that our approach has lower overhead compared to the others.
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Date Issued
2006
PURL
http://purl.flvc.org/fcla/dt/13369
Subject Headings
Wireless LANs--Security measures, Wireless communication systems--Security measures, Computer viruses--Prevention, Computer security
Format
Document (PDF)