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: Network Security Metrics
  name:
    name part: Wang, Lingyu.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Jajodia, Sushil.
    role:
      role term: author.
  name:
    name part: Singhal, Anoop.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 207 p. 110 illus., 63 illus. in color. online resource.
  abstract: This book examines different aspects of network security metrics and their application to enterprise networks. One of the most pertinent issues in securing mission-critical computing networks is the lack of effective security metrics which this book discusses in detail. Since “you cannot improve what you cannot measure”, a network security metric is essential to evaluating the relative effectiveness of potential network security solutions. The authors start by examining the limitations of existing solutions and standards on security metrics, such as CVSS and attack surface, which typically focus on known vulnerabilities in individual software products or systems. The first few chapters of this book describe different approaches to fusing individual metric values obtained from CVSS scores into an overall measure of network security using attack graphs. Since CVSS scores are only available for previously known vulnerabilities, such approaches do not consider the threat of unknown attacks exploiting the so-called zero day vulnerabilities. Therefore, several chapters of this book are dedicated to develop network security metrics especially designed for dealing with zero day attacks where the challenge is that little or no prior knowledge is available about the exploited vulnerabilities, and thus most existing methodologies for designing security metrics are no longer effective. Finally, the authors examine several issues on the application of network security metrics at the enterprise level. Specifically, a chapter presents a suite of security metrics organized along several dimensions for measuring and visualizing different aspects of the enterprise cyber security risk, and the last chapter presents a novel metric for measuring the operational effectiveness of the cyber security operations center (CSOC). Security researchers who work on network security or security analytics related areas seeking new research topics, as well as security practitioners including network …
  table of contents: 1 Measuring the Overall Network Security by Combining CVSS Scores Based on Attack Graphs and Bayesian Networks -- 2 Refining CVSS-based network security metrics by examining the base scores -- 3 Security Risk Analysis of Enterprise Networks Using Probabilistic Attack Graphs -- 4 k-Zero day safety: Evaluating the resilience of networks against unknown attacks -- 5 Using Bayesian Networks to Fuse Intrusion Evidences and Detect Zero-day Attack Paths -- 6 Evaluating the network diversity of networks against zero-day attacks -- 7 Metrics suite for network attack graph analytics -- 8 A Novel Metric for Measuring Operational Effectiveness of a Cybersecurity Operations Center.
  note: by Lingyu Wang, Sushil Jajodia, Anoop Singhal.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer security
  subject:
    topic: Data encryption (Computer science)
  subject:
    topic: Computer Science
  subject:
    topic: Systems and Data Security
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Data Encryption
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319665054
  identifier: http://dx.doi.org/10.1007/978-3-319-66505-4
  record info:
    record creation date: 171115
    record change date: 20171116021018.0
    record identifier: 978-3-319-66505-4