Paper Info
Title
Short Term and Total Life Impact analysis of email worms in computer systems
Abstract
This paper develops a methodology for analyzing and predicting the impact category of malicious code, particularly email worms. The current paper develops two frameworks to classify email worms based on their detrimental impact. The first framework, the Total Life Impact (TLI) framework is a descriptive model or classifier to categorize worms in terms of their impact, after the worm has run its course. The second framework, the Short Term Impact (STI) framework, allows for prediction of the impact of the worm utilizing the data available during the early stages in the life of a worm. Given the classification, this study identifies the issue of how well the STI framework allows for prediction of the worm into its final impact category based on data that are available in early stages as well as whether the predicted value from Short Term Impact framework valid statistically and practically.
Year
DOI
Venue
2007
10.1016/j.dss.2006.12.014
Decision Support Systems
Keywords
Field
DocType
frameworks,total life impact analysis,short term impact,total life impact,final impact category,damage potency,short term impact framework,detrimental impact,current paper,computer system,classification,email worms,sti framework,early stage,group similarity index,impact category,email worm
Categorization,Similitude,Data mining,Nuisance parameter,Computer science,Computer virus,Classifier (linguistics),Statistical analysis
Journal
Volume
Issue
ISSN
43
3
Decision Support Systems
Citations 
PageRank 
References 
7
0.67
7
Authors
4
Name
Order
Citations
PageRank
Insu Park110112.11
R. Sharman2101.05
H. R. Rao367541.68
S. Upadhyaya4817.01