Date of Award
4-2012
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science
First Advisor
Qiuming Zhu
Second Advisor
William Mahoney
Third Advisor
Robin A. Gandhi
Fourth Advisor
Stanley Wileman
Abstract
Cyber-attacks have become a huge threat to the information age. In a previous study, cyber-attacks associated with events in Social, Political, Economic and Cultural (SPEC) dimensions were analyzed [6]. The task of this research is to construct an automated classifier that can classify media reports related to past and current cyber-attack events according to the SPEC taxonomy. The classifier was built on a machine learning principle incorporated with approaches focused on 1) document indexing; 2) calculation of classification thresholds; 3) definition of classification effectiveness; and 4) calculation of precision and recall. The classifier is expected to perform with acceptable effectiveness so that it helps analysts to deal with large number of media reports that are predictive of possible cyber-attacks.
Recommended Citation
Zhang, Jinhua, "Taxonomic Classification of Media Reports in the Cyber Attack Domain" (2012). Student Work. 2879.
https://digitalcommons.unomaha.edu/studentwork/2879
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Comments
A Thesis Presented to the Department of Computer Science and the Faculty of the Graduate College University of Nebraska. In Partial Fulfillment of the Requirements for the Degree Master of Science. Copyright 2012 Jinhua Zhang.