Analysis of Automated Rootkit Detection Methodologies
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Analysis of Automated Rootkit Detection Methodologies

ANALYSIS, COMPARISON, AND EVALUATION OF THE EFFECTIVENESS OF ROOTKIT DETECTION METHODOLOGIES

Eugene Chuvyrov

  1. 116 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF
No longer available |Learn more

Analysis of Automated Rootkit Detection Methodologies

ANALYSIS, COMPARISON, AND EVALUATION OF THE EFFECTIVENESS OF ROOTKIT DETECTION METHODOLOGIES

Eugene Chuvyrov

Book details
Table of contents
Citations

About This Book

The focus of this study was to identify, analyze, compare, and evaluate the effectiveness of rootkit detection methodologies. Specifically, two methodologies were studied in depth. The first is the heuristic of statically analyzing kernel module binaries, which attempts to determine whether or not a software module's behavior is malicious, prior to passing it to the operating system. The second methodology analyzed in this paper, the Strider Ghostbuster framework, compares what a computer system believes to be true (i.e., what modules are visible to the OS) to the absolute "truth, " which is determined via low-level system programming. The expected results of this comparison should always be equal, unless a malicious tampering on the system is observed. After comparing the effectiveness of detection methodologies on a set of well-known (and publicly available) rootkits, including a very simple rootkit built by the author, the methodologies are compared and their effectiveness is evaluated.

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Information

Publisher
LAP LAMBERT Academic Publishing
Year
2011
ISBN
9783844384833
Edition
1
Topic
Computer Science
Subtopic
Operating Systems
Index
Computer Science

Table of contents

Citation styles for Analysis of Automated Rootkit Detection Methodologies

APA 6 Citation

Chuvyrov, E. (2011). Analysis of Automated Rootkit Detection Methodologies (1st ed.). LAP LAMBERT Academic Publishing. Retrieved from https://www.perlego.com/book/3331330/analysis-of-automated-rootkit-detection-methodologies-analysis-comparison-and-evaluation-of-the-effectiveness-of-rootkit-detection-methodologies-pdf (Original work published 2011)

Chicago Citation

Chuvyrov, Eugene. (2011) 2011. Analysis of Automated Rootkit Detection Methodologies. 1st ed. LAP LAMBERT Academic Publishing. https://www.perlego.com/book/3331330/analysis-of-automated-rootkit-detection-methodologies-analysis-comparison-and-evaluation-of-the-effectiveness-of-rootkit-detection-methodologies-pdf.

Harvard Citation

Chuvyrov, E. (2011) Analysis of Automated Rootkit Detection Methodologies. 1st edn. LAP LAMBERT Academic Publishing. Available at: https://www.perlego.com/book/3331330/analysis-of-automated-rootkit-detection-methodologies-analysis-comparison-and-evaluation-of-the-effectiveness-of-rootkit-detection-methodologies-pdf (Accessed: 15 October 2022).

MLA 7 Citation

Chuvyrov, Eugene. Analysis of Automated Rootkit Detection Methodologies. 1st ed. LAP LAMBERT Academic Publishing, 2011. Web. 15 Oct. 2022.