Design and analysis of accountable networked and distributed systems

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dc.contributor Brown, Marcus E.
dc.contributor Hong, Xiaoyan
dc.contributor Zhang, Jingyuan
dc.contributor Li, Shuhui
dc.contributor.advisor Xiao, Yang
dc.contributor.author Xiao, Zhifeng
dc.date.accessioned 2017-03-01T16:50:16Z
dc.date.available 2017-03-01T16:50:16Z
dc.date.issued 2013
dc.identifier.other u0015_0000001_0001349
dc.identifier.other Xiao_alatus_0004D_11597
dc.identifier.uri https://ir.ua.edu/handle/123456789/1816
dc.description Electronic Thesis or Dissertation
dc.description.abstract This dissertation focuses on the design and analysis of accountable computing for a wide range of networked systems with affordable expense. The central idea is to incorporate accountability, a long-neglected security objective, into the design and implementation of modern computing systems. Broadly speaking, accountability in the cyber-security domain means that every entity ought to be held responsible for its behavior, and that there always exists undeniable and verifiable evidence linking each event to the liable entities. This dissertation studies accountable computing in three different contexts, including traditional distributed systems, cloud computing, and the Smart Grid. We first propose a quantitative model called P-Accountability to assess the degree of system accountability. P-Accountability consists of a flat model and a hierarchical model. Our results show that P-Accountability is an effective metric to evaluate general distributed systems such as PeerReview [1] in terms of accountability. Next, we develop Accountable MapReduce for cloud computing to prevent malicious working machines from manipulating the processing results. To achieve this goal, we set up a group of auditors to perform an Accountability-Test (A-test) that checks all working machines and detects malicious nodes in real time. Finally, we investigate the accountability issues in the neighborhood area smart grid. A mutual inspection scheme is presented to enable non-repudiation for metering. In addition, we propose and analyze a suite of algorithms to identify malicious meters for the detection of energy theft.
dc.format.extent 155 p.
dc.format.medium electronic
dc.format.mimetype application/pdf
dc.language English
dc.language.iso en_US
dc.publisher University of Alabama Libraries
dc.relation.ispartof The University of Alabama Electronic Theses and Dissertations
dc.relation.ispartof The University of Alabama Libraries Digital Collections
dc.relation.hasversion born digital
dc.rights All rights reserved by the author unless otherwise indicated.
dc.subject.other Computer science
dc.title Design and analysis of accountable networked and distributed systems
dc.type thesis
dc.type text
etdms.degree.department University of Alabama. Dept. of Computer Science
etdms.degree.discipline Computer Science
etdms.degree.grantor The University of Alabama
etdms.degree.level doctoral
etdms.degree.name Ph.D.


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