Identification of Application Behavior Using Process Profiles
Electronic Theses and Dissertations
Item Files
Item Details
- 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
- 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