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Identification of Application Behavior Using Process Profiles

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abstract
A computer application will often process thousands of machine level instructions during its normal execution. This thesis seeks to develop a dynamic analysis of these executed instructions in order to infer the application's behavior or general notion of the task being performed. Knowing the behavior of an application can help improve system management by allowing more efficient allocation resources (e.g. processor time, memory, etc...).
subject
behavior analysis
clustering
dynamic analysis
instruction profiles
process profiles
snooper
contributor
Bhandari, Arnav (author)
Fulp, Errin W. (committee chair)
Torgersen, Todd (committee member)
Turkett, William H. (committee member)
date
2019-09-05T08:35:23Z (accessioned)
2019-09-05T08:35:23Z (available)
2019 (issued)
degree
Computer Science (discipline)
identifier
http://hdl.handle.net/10339/94316 (uri)
language
en (iso)
publisher
Wake Forest University
title
Identification of Application Behavior Using Process Profiles
type
Thesis

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