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Eastern Washington University

Bridging the detection gap: a study on a behavior-based approach using malware techniques

Abstract

dc:description.abstract

<p>"In recent years the intensity and complexity of cyber attacks have increased at a rapid rate. The cost of these attacks on U.S. based companies is in the billions of dollars, including the loss of intellectual property and reputation. Novel and diverse approaches are needed to mitigate the cost of a security breach, and bridge the gap between malware detection and a security breach. This thesis focuses on the short term need to mitigate the impact of undetected shellcodes that cause security breaches. The thesis's approach focuses on the agents driving the attacks, capturing their actions, in order to piece together the attacks for forensics purposes, as well as to better understand the opponent. The work presented in this thesis employs models of normal operating system behavior to detect access to the operating system's shell interface. It also utilizes malware techniques to avoid detection and subsequent termination of the monitoring system, as well as dynamic shellcode execution methodologies in the testing of the thesis' modules to implement a monitoring system"--Document.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science (MS) in Computer Science
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Computer Science
Year
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Palavicini, Geancarlo

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Access is available to all users

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dc.ewu.edu/theses/186
OAI identifier oai:identifier
oai:dc.ewu.edu:theses-1185

Chain of custody

source
Harvested from
Eastern Washington University
Base URL
dc.ewu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Palavicini, Geancarlo. Bridging the detection gap: a study on a behavior-based approach using malware techniques. Thesis thesis, 2014. https://dc.ewu.edu/theses/186