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: Android Application Security
    sub title: A Semantics and Context-Aware Approach
  name:
    name part: Zhang, Mu.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Yin, Heng.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XI, 105 p. 37 illus., 29 illus. in color. online resource.
  abstract: This SpringerBrief explains the emerging cyber threats that undermine Android application security. It further explores the opportunity to leverage the cutting-edge semantics and context–aware techniques to defend against such threats, including zero-day Android malware, deep software vulnerabilities, privacy breach and insufficient security warnings in app descriptions. The authors begin by introducing the background of the field, explaining the general operating system, programming features, and security mechanisms. The authors capture the semantic-level behavior of mobile applications and use it to reliably detect malware variants and zero-day malware. Next, they propose an automatic patch generation technique to detect and block dangerous information flow. A bytecode rewriting technique is used to confine privacy leakage. User-awareness, a key factor of security risks, is addressed by automatically translating security-related program semantics into natural language descriptions. Frequent behavior mining is used to discover and compress common semantics. As a result, the produced descriptions are security-sensitive, human-understandable and concise. By covering the background, current threats, and future work in this field, the brief is suitable for both professionals in industry and advanced-level students working in mobile security and applications. It is valuable for researchers, as well.
  table of contents: Introduction -- Background -- Semantics-Aware Android Malware Classification -- Automatic Generation of Vulnerability-Specific Patches for Preventing Component Hijacking Attacks -- Efficient and Context-Aware Privacy Leakage Confinement -- Automatic Generation of Security-Centric Descriptions for Android Apps -- Limitation and Future Work -- Conclusion.
  note: by Mu Zhang, Heng Yin.
  subject:
    topic: Computer science
  subject:
    topic: Computer communication systems
  subject:
    topic: Computer security
  subject:
    topic: Electrical engineering
  subject:
    topic: Computer Science
  subject:
    topic: Systems and Data Security
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Communications Engineering, Networks
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computer Science
  identifier: 9783319478128
  identifier: http://dx.doi.org/10.1007/978-3-319-47812-8
  record info:
    record creation date: 161117
    record change date: 20161117084324.0
    record identifier: 978-3-319-47812-8