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Purdue University

Automated performance attack discovery in distributed system implementations

Abstract

dc:description.abstract

<p>Security and performance are critical goals for distributed systems. The increased complexity in design, incomplete expertise of developers, and limited functionality of existing testing tools often result in implementations with vulnerabilities and make the debugging process difficult and costly. The deployed vulnerabilities are often exploited by adversaries preventing the system from achieving its design goals. We refer to attacks that slow down the performance of a system as performance attacks. In the past, finding performance attacks has been a painstaking manual process that involved an expert of the target implementation. Given the cost associated with each vulnerability that occurs in the production, there is a need for tools to automatically check that the implementation of a protocol achieves its performance goals with respect to malicious components in the system. In this dissertation, we find performance attacks automatically from implementations of distributed systems. We do not try to show that an implementation is free from all attacks. Our goal is to find attacks and report them to the user in a timely manner. We first investigate how to find attacks automatically from implementations under a simulated environment. A simulated approach, however, has a fundamental limitation in terms of applicable target systems, as certain assumptions are made about languages, operating systems or libraries used. Therefore, we next investigate challenges and requirements to automatically find attacks in implementations of distributed systems under an emulated environment where no limiting assumptions are made.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Year
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lee, Hyojeong
Contributors dc:contributor
  • Cristina Nita-Rotaru
  • Charles Killian
  • Sonia Fahmy
  • Dongyan Xu

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:docs.lib.purdue.edu:open_access_dissertations-1409

Chain of custody

source
Harvested from
Purdue University
Base URL
docs.lib.purdue.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lee, Hyojeong. Automated performance attack discovery in distributed system implementations. Dissertation thesis, 2014. https://docs.lib.purdue.edu/open_access_dissertations/313