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dc.contributor.advisorGuirguis, Mina
dc.contributor.authorPenner, Terrence ( )
dc.date.accessioned2016-07-01T19:09:34Z
dc.date.available2016-07-01T19:09:34Z
dc.date.issued2016-05
dc.identifier.citationPenner, T. (2016). Bandits in the cloud: A moving target defense against multi-armed bandit attack policies (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/6115
dc.description.abstractThe cloud is a very popular field in both business and computing right now, with many companies starting to move their data and operations into clouds hosted over the public Internet. Both the data stored on the hosts' servers and the operations on it are the customers' proprietary information, so they want assurance that their data will be safe, which makes the security of cloud computing critical for its adoption. Given the complexity of cloud systems, many different attack policies have been created, some of which are for the Multi-Armed Bandit (MAB) problem. In this thesis, we develop a set of Moving Target Defense (MTD) strategies that randomize the location of a cloud's Virtual Machines (VM) to counter attacks from a MAB policy and we assess through simulation the effect our defense has on a variety of MAB algorithms, showing that it can make them no more effective than a randomized attack policy. Additionally, we show the effect of the critical parameters (e.g. time between randomizations of VM locations, variance in the effectiveness of an attack, etc.) on the performance of our defense, and use a real OpenStack system to validate our defense strategy through the collection of migration times and VM down times for different VM memory loads.
dc.formatText
dc.format.extent51 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectCloud
dc.subjectSecurity
dc.subjectDefense
dc.subjectMulti-armed bandit
dc.subjectMoving target defense
dc.subjectOpenStack
dc.subject.lcshResource allocation--Mathematical modelsen_US
dc.subject.lcshCloud computing--Security measuresen_US
dc.subject.lcshInformation technology-Security measuresen_US
dc.subject.lcshData protectionen_US
dc.subject.lcshComputer networks-Security measuresen_US
dc.subject.lcshInternet-Security measuresen_US
dc.titleBandits in the Cloud: A Moving Target Defense Against Multi-Armed Bandit Attack Policies
txstate.documenttypeThesis
dc.contributor.committeeMemberGu, Qijun
dc.contributor.committeeMemberChen, Xiao
thesis.degree.departmentComputer Scienceen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
txstate.departmentComputer Science


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