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: Understanding Social Engineering Based Scams
  name:
    name part: Jakobsson, Markus.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 130 p. 51 illus., 18 illus. in color. online resource.
  abstract: This book describes trends in email scams and offers tools and techniques to identify such trends. It also describes automated countermeasures based on an understanding of the type of persuasive methods used by scammers. It reviews both consumer-facing scams and enterprise scams, describing in-depth case studies relating to Craigslist scams and Business Email Compromise Scams. This book provides a good starting point for practitioners, decision makers and researchers in that it includes alternatives and complementary tools to the currently deployed email security tools, with a focus on understanding the metrics of scams. Both professionals working in security and advanced-level students interested in privacy or applications of computer science will find this book a useful reference.
  table of contents: Scams and Targeting -- Identifying Scams and Trends -- Predicting Trends -- Persuasion in Scams -- Traditional Countermeasures to Unwanted Email -- Obfuscation in Spam and Scam -- Semantic Analytics of Messages -- Case Study: Sales Scams -- Case Study: Rental Scams -- Case Study: Romance Scams -- Case Study: Business Email Compromise -- Conclusion and Next Steps.
  note: edited by Markus Jakobsson.
  subject:
    topic: Computer science
  subject:
    topic: Computer security
  subject:
    topic: Data encryption (Computer science)
  subject:
    topic: Computer Science
  subject:
    topic: Systems and Data Security
  subject:
    topic: Information Systems Applications (incl. Internet)
  subject:
    topic: Data Encryption
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781493964574
  identifier: http://dx.doi.org/10.1007/978-1-4939-6457-4
  record info:
    record creation date: 160913
    record change date: 20160913161537.0
    record identifier: 978-1-4939-6457-4