Analysis of Automated Rootkit Detection Methodologies : ANALYSIS, COMPARISON, AND EVALUATION OF THE EFFECTIVENESS OF ROOTKIT DETECTION METHODOLOGIES

Chuvyrov, Eugene

ISBN 10: 3844384839 / ISBN 13: 9783844384833

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.

Seller Inventory # 10805203/2

Bibliographic Details

• Title: Analysis of Automated Rootkit Detection Methodologies : ANALYSIS, COMPARISON, AND EVALUATION OF THE EFFECTIVENESS OF ROOTKIT DETECTION METHODOLOGIES
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3844384839
• ISBN 13: 9783844384833
• Binding: Soft cover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

Eugene Chuvyrov is an independent software consultant in the beautiful Jacksonville, Florida. His specializes in enterprise and mobile software development.