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Exploring application memory
Larson, Kevin Andrew
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https://hdl.handle.net/2142/88107
Description
- Title
- Exploring application memory
- Author(s)
- Larson, Kevin Andrew
- Issue Date
- 2015-07-22
- Director of Research (if dissertation) or Advisor (if thesis)
- Campbell, Roy H.
- Department of Study
- Computer Science
- Discipline
- Computer Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Date of Ingest
- 2015-09-29T20:38:50Z
- Keyword(s)
- Forensics
- Memory
- Visualization
- Abstract
- Increasingly complex malware continues to evade detection, stealing information, taking systems offline, and disrupting functionality of many computer systems. Traditional techniques have not adequately protected systems from attackers, and the most commonly used detection techniques overlook the contents of memory. Modern systems contain a wealth of information in the contents of memory, but making use of that information is anything but trivial. There are a number of challenges related to both the acquisition and analysis of a system's memory. Many forensic situations could involve machines in hostile environments, and many acquisition techniques result in artifacts, which reduce the fidelity of the image and hinder the analysis phase. Although the kernel memory space has come a long way in being mapped, the state of application memory has largely been unexplored. We have created a toolset that extracts the application's context from the structure of pointers in a sample of that application's memory. This context allows us to perform statistical analysis, visualize the structure of memory, and provides a new way to train classifiers.
- Graduation Semester
- 2015-8
- Type of Resource
- text
- Permalink
- http://hdl.handle.net/2142/88107
- Copyright and License Information
- Copyright 2015 Kevin Larson
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Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisDissertations and Theses - Computer Science
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