A Control Theoretic Approach for Resilient Network Services Metadata

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Title

  • Main Title A Control Theoretic Approach for Resilient Network Services

Creator

  • Author: Vempati, Jagannadh Ambareesh
    Creator Type: Personal

Contributor

  • Chair: Dantu, Ram
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Akl, Robert G.
    Contributor Type: Personal
  • Committee Member: Hauge, Janice
    Contributor Type: Personal
  • Committee Member: Thompson, Mark
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: www.unt.edu

Date

  • Creation: 2018-12

Language

  • English

Description

  • Content Description: Resilient networks have the ability to provide the desired level of service, despite challenges such as malicious attacks and misconfigurations. The primary goal of this dissertation is to be able to provide uninterrupted network services in the face of an attack or any failures. This dissertation attempts to apply control system theory techniques with a focus on system identification and closed-loop feedback control. It explores the benefits of system identification technique in designing and validating the model for the complex and dynamic networks. Further, this dissertation focuses on designing robust feedback control mechanisms that are both scalable and effective in real-time. It focuses on employing dynamic and predictive control approaches to reduce the impact of an attack on network services. The closed-loop feedback control mechanisms tackle this issue by degrading the network services gracefully to an acceptable level and then stabilizing the network in real-time (less than 50 seconds). Employing these feedback mechanisms also provide the ability to automatically configure the settings such that the QoS metrics of the network is consistent with those specified in the service level agreements.
  • Physical Description: xix, 134 pages

Subject

  • Keyword: Control Theory
  • Keyword: Resilient
  • Keyword: Network
  • Keyword: DDoS
  • Keyword: Feedback control
  • Keyword: Graceful Degradation
  • Keyword: System Identification
  • Keyword: Computer Science
  • Library of Congress Subject Headings: Computer networks -- Security measures.
  • Library of Congress Subject Headings: Feedback control systems.
  • Library of Congress Subject Headings: Control theory.
  • Library of Congress Subject Headings: System identification.

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights Holder: Vempati, Jagannadh Ambareesh
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights Reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • Accession or Local Control No: submission_1333
  • Archival Resource Key: ark:/67531/metadc1404595

Degree

  • Degree Name: Doctor of Philosophy
  • Degree Level: Doctoral
  • Academic Department: Department of Computer Science and Engineering
  • College: College of Engineering
  • Degree Discipline: Computer Science and Engineering
  • Degree Publication Type: disse
  • Degree Grantor: University of North Texas

Note

  • Embargo Note: The item had been restricted to campus view for 5 years. The start date for the restriction period is the first day of the month immediately following graduation month: June 1 (May graduation), September 1 (August graduation), or January 1 of the following year (December graduation). Accordingly, the embargo expired on 2024-01-01.
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