2026-09-20T20:27:07Zhttps://wakespace.lib.wfu.edu/server/oai/request

oai:null:10339/571312026-09-18T12:16:37Zcom_10339_14934col_10339_38132

Zhou, Xin 2015-06-23T08:35:48Z 2016-06-22T08:30:09Z 2015 https://wakespace.lib.wfu.edu/handle/10339/57131 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. en Wake Forest University Genetic Alogrithm Machine Learning Moving Target Resilience Measurements Associated With Learning More Secure Computer Configuration Parameters Thesis John, David J Fulp, Errin Gage, Don Turkett, William Computer Science 2016-06-22 open.access