rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Adversarial and Uncertain Reasoning for Adaptive Cyber Defense
    sub title: Control- and Game-Theoretic Approaches to Cyber Security
  name:
    name part: Jajodia, Sushil.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Cybenko, George.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Liu, Peng.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Wang, Cliff.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Wellman, Michael.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 263 p. 120 illus., 45 illus. in color. online resource.
  abstract: Today's cyber defenses are largely static allowing adversaries to pre-plan their attacks. In response to this situation, researchers have started to investigate various methods that make networked information systems less homogeneous and less predictable by engineering systems that have homogeneous functionalities but randomized manifestations. The 10 papers included in this State-of-the Art Survey present recent advances made by a large team of researchers working on the same US Department of Defense Multidisciplinary University Research Initiative (MURI) project during 2013-2019. This project has developed a new class of technologies called Adaptive Cyber Defense (ACD) by building on two active but heretofore separate research areas: Adaptation Techniques (AT) and Adversarial Reasoning (AR). AT methods introduce diversity and uncertainty into networks, applications, and hosts. AR combines machine learning, behavioral science, operations research, control theory, and game theory to address the goal of computing effective strategies in dynamic, adversarial environments. .
  table of contents: Overview of Control and Game Theory in Adaptive Cyber-Defenses -- Control Theoretic Approaches to Cyber-Security -- Game-Theoretic Approaches to Cyber-Security: Issues and Challenges and Results -- Reinforcement Learning for Adaptive Cyber Defense against Zero-day Attacks -- Moving Target Defense Quantification -- Empirical Game-Theoretic Methods for Adaptive Cyber-Defense -- MTD Techniques for Memory Protection against Zero-Day Attacks -- Adaptive Cyber Defenses for Botnet Detection and Mitigation -- Optimizing Alert Data Management Processes at a Cyber Security Operations Center -- Online and Scalable Adaptive Cyber Defense.
  note: edited by Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael Wellman.
  subject:
    topic: Computer crimes
  subject:
    topic: Computer organization
  subject:
    topic: Computers
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computer Crime
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: Computing Milieux
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Probability and Statistics in Computer Science
  classification: HV6772-6773.3
  classification: 005.8
  classification: 364.168
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Security and Cryptology ; 11830
  identifier: 9783030307196
  identifier: https://doi.org/10.1007/978-3-030-30719-6
  record info:
    record creation date: 190830
    record change date: 20191022091203.0
    record identifier: 978-3-030-30719-6