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Wake Forest University

Measurements Associated With Learning More Secure Computer Configuration Parameters

Abstract

dc:description.abstract

To defend against a cyber attack in which the attacker searches the network for vulnerable machines, most people will install some specific security software that cost some money, or download the newest patches for the softwares to avoid some vulnerabilities. Neither way can be efficient especially when attacks are always updated. Reconnaissance is the essential part of a cyber attack during which the attacker is to learn about vulnerabilities of the targeted machines, including credentials, software versions, and misconfigured settings. Moving target strategy then can be implemented specifically against this part of an attack. Theoretically, a change in configuration during the construction of an exploit will alter the computer such that the machine no longer contains the same vulnerabilities discovered during reconnaissance, thereby rendering the initial reconnaissance step ineffective.

Degree

thesis:*
Grantor dc:publisher
Wake Forest University
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhou, Xin

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10339/57131
OAI identifier oai:identifier
oai:wakespace.lib.wfu.edu:10339/57131

Chain of custody

source
Harvested from
Wake Forest University
Base URL
wakespace.lib.wfu.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Zhou, Xin. Measurements Associated With Learning More Secure Computer Configuration Parameters. Wake Forest University, 2015. http://hdl.handle.net/10339/57131