Title:
Automated Forensics Analysis Final Report
Automated Forensics Analysis Final Report
| dc.contributor.author | Harper, Grace | |
| dc.contributor.committeeMember | Lee, Wenke | |
| dc.contributor.department | Computer Science | |
| dc.date.accessioned | 2019-05-30T16:23:47Z | |
| dc.date.available | 2019-05-30T16:23:47Z | |
| dc.date.created | 2019-08 | |
| dc.date.issued | 2019-08 | |
| dc.date.submitted | August 2019 | |
| dc.date.updated | 2019-05-30T16:23:48Z | |
| dc.description.abstract | RAIN [2] is a system which has the ability to record and replay system call events at the process level as well as perform dynamic information flow tracking (DIFT) on-demand during replay. This project’s goal is to utilize RAIN to more efficiently determine the entrypoint of an attack as well as its effects on the victim’s system. Specifically, this project attempts to use the low-level information recorded by RAIN to determine potential entry points of the attack. | |
| dc.description.degree | Undergraduate | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/61376 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | |
| dc.subject | cs | |
| dc.title | Automated Forensics Analysis Final Report | |
| dc.type | Text | |
| dc.type.genre | Undergraduate Thesis | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | College of Computing | |
| local.contributor.corporatename | School of Computer Science | |
| local.contributor.corporatename | Undergraduate Research Opportunities Program | |
| local.relation.ispartofseries | Undergraduate Research Option Theses | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isOrgUnitOfPublication | 6b42174a-e0e1-40e3-a581-47bed0470a1e | |
| relation.isOrgUnitOfPublication | 0db885f5-939b-4de1-807b-f2ec73714200 | |
| relation.isSeriesOfPublication | e1a827bd-cf25-4b83-ba24-70848b7036ac | |
| thesis.degree.level | Undergraduate |