Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1991. / Vita. Abstract. Includes bibliographical references (leaves 84-86). Also available via the Internet.

Thesis (Ph. D.)--Indiana University of Pennsylvania. / Includes bibliographical references.

Thesis (M.S.)--Southern Utah University, 2009. / Title from PDF title page. "Thesis presented to the faculty of the Graduate School of Southern Utah University in partial fulfillment of the requirements for the degree of Master of Science in Forensic Science, Computer Forensics Emphasis." Manghui Tu, Advisor. Includes bibliographical references (p. 83-88).

Texte abrégé et révisé de: Dissertation--Humboldt-Universität Berlin, 2006. Titre de soutenance : "A popular expression of individuality" : Kriminalität, Justiz und Gesellschaft in der Gerichtsberichterstattung von Tageszeitungen in Berlin, Paris und Chicago, 1919 bis 1933. / Bibliogr. p. 399-438.

Thesis (M.A.)--West Virginia University, 2009. / Title from document title page. Document formatted into pages; contains vi, 46 p. Includes abstract. Includes bibliographical references (p. 43-46).

This study is concerned with distinguishing between persons convicted of crimes against persons and those convicted of crimes against property using the hostility factor as a criterion for comparison. There is some indication that the crimes against persons group is more likely to express overt hostility than the crimes against property group. This would be a useful distinction since the ability to recognize and separate violent or potentially violent persons from the nonviolent is desirable in order to help provide a healthier society.

Made available in DSpace on 2019-03-29T23:38:54Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-11-29 / Botnet detection has received great attention from the academic community in recent years due to the potential threat they pose to Internet security. The P2P botnets are formed by infected computers with malicious code called zombies, capable of performing various types of malicious actions under the command of a botmaster. Its detection has received two approaches: based on network traffic or based on host behavior. This work analyzes the detection of P2P botnets based on the behavior of network traffic using J48 decision tree and Naive Bayes. The main contributions are: the use of sub-flow statistical discriminators and premature detection of known and unknown P2P botnets based on traffic C&C (command and control). Experimental results show that the approach is promising. Keywords: P2P botnet detection, command and control, sub-flow discriminators / Detecção de botnets tem recebido uma grande atenção da comunidade acadêmica nos últimos anos dada a potencial ameaça que representam para a segurança na Internet. As botnets P2P são formadas por computadores infectados por códigos maliciosos denominados zumbis, capazes de executar diversos tipos de ações maliciosas sob o comando de umbotmaster. Sua detecção tem recebido duas abordagens: baseada em tráfego de rede ou baseada em comportamento de host. Este trabalho analisa a detecção prematura de botnets P2P com base no comportamento do tráfego de rede utilizando árvore de decisão J48 e Naive Bayes. As principais contribuições deste trabalho estão relacionadas à utilização de discriminantes estatísticos de sub-fluxo e a detecção de botnets P2P conhecidas e desconhecidas com base no tráfego C&C (comando e controle). Os resultados experimentais mostram que a abordagem é bastante promissora. Palavras-chave: Detecção e botnets P2P, comando e controle, discriminantes de sub- fluxo

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Thesis (M.A.)--West Virginia University, 2002. / Title from document title page. Document formatted into pages; contains viii, 61 p. Includes abstract. Includes bibliographical references (p. 55-58).

Thesis (Ph. D.)--University of Queensland, 2002. / Includes bibliographical references.