Title:
Leveraging program slicing to understand network traffic
Leveraging program slicing to understand network traffic
dc.contributor.advisor | Saltaformaggio, Brendan D. | |
dc.contributor.advisor | Beyah, Raheem A. | |
dc.contributor.advisor | Smith, William W. | |
dc.contributor.author | Stewart, Allen Joel | |
dc.contributor.department | Electrical and Computer Engineering | |
dc.date.accessioned | 2020-01-14T14:49:02Z | |
dc.date.available | 2020-01-14T14:49:02Z | |
dc.date.created | 2019-12 | |
dc.date.issued | 2019-12-04 | |
dc.date.submitted | December 2019 | |
dc.date.updated | 2020-01-14T14:49:02Z | |
dc.description.abstract | This project centers around utilizing the concept of backward slice analysis of a binary to reconstruct the contents of a function call. To that end, a suite of modular tools will be developed to enable an analyst to glean relevant information about what data a binary is accessing and what it is doing with it. Each tool plays a small role in this overall goal while also being capable standing on its own. This functionality has utility in a variety of applications including detection of unauthorized gathering of personal information, malicious use of private functions, and unknown network protocol analysis. These use cases will be discussed in the paper. | |
dc.description.degree | M.S. | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/62359 | |
dc.language.iso | en_US | |
dc.publisher | Georgia Institute of Technology | |
dc.subject | Angr | |
dc.subject | Backward slice | |
dc.subject | Program slice | |
dc.subject | Binary analysis | |
dc.subject | Reverse engineering | |
dc.subject | Ida | |
dc.subject | Ghidra | |
dc.subject | Python | |
dc.title | Leveraging program slicing to understand network traffic | |
dc.type | Text | |
dc.type.genre | Thesis | |
dspace.entity.type | Publication | |
local.contributor.advisor | Saltaformaggio, Brendan D. | |
local.contributor.advisor | Beyah, Raheem A. | |
local.contributor.corporatename | School of Electrical and Computer Engineering | |
local.contributor.corporatename | College of Engineering | |
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relation.isAdvisorOfPublication | 88360599-cf62-474a-81dd-961af8abbb9b | |
relation.isOrgUnitOfPublication | 5b7adef2-447c-4270-b9fc-846bd76f80f2 | |
relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 | |
thesis.degree.level | Masters |