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: Cyber Threat Intelligence
  name:
    name part: Dehghantanha, Ali.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Conti, Mauro.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Dargahi, Tooska.
    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: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VI, 334 p. 105 illus., 77 illus. in color. online resource.
  abstract: This book provides readers with up-to-date research of emerging cyber threats and defensive mechanisms, which are timely and essential. It covers cyber threat intelligence concepts against a range of threat actors and threat tools (i.e. ransomware) in cutting-edge technologies, i.e., Internet of Things (IoT), Cloud computing and mobile devices. This book also provides the technical information on cyber-threat detection methods required for the researcher and digital forensics experts, in order to build intelligent automated systems to fight against advanced cybercrimes. The ever increasing number of cyber-attacks requires the cyber security and forensic specialists to detect, analyze and defend against the cyber threats in almost real-time, and with such a large number of attacks is not possible without deeply perusing the attack features and taking corresponding intelligent defensive actions - this in essence defines cyber threat intelligence notion. However, such intelligence would not be possible without the aid of artificial intelligence, machine learning and advanced data mining techniques to collect, analyze, and interpret cyber-attack campaigns which is covered in this book. This book will focus on cutting-edge research from both academia and industry, with a particular emphasis on providing wider knowledge of the field, novelty of approaches, combination of tools and so forth to perceive reason, learn and act on a wide range of data collected from different cyber security and forensics solutions. This book introduces the notion of cyber threat intelligence and analytics and presents different attempts in utilizing machine learning and data mining techniques to create threat feeds for a range of consumers. Moreover, this book sheds light on existing and emerging trends in the field which could pave the way for future works. The inter-disciplinary nature of this book, makes it suitable for a wide range of audiences with backgrounds in artificial intelligence, …
  table of contents: 1 Introduction -- 2 Machine Learning Aided Static Malware Analysis -- 3 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Datasets and Feature Selection -- 4 Application of Machine Learning Techniques to Detecting Anomalies in Communication Networks: Classification Algorithms -- 5 Leveraging Machine Learning Techniques for Windows Ransomware Network Traffic Detection -- 6 Leveraging Support Vector Machine for Opcode Density Based Detection of Crypto-Ransomware -- 7 BoTShark - A Deep Learning Approach for Botnet Traffic Detection -- 8 A Practical Analysis of The Rise in Mobile Phishing -- 9 PDF-Malware Detection: A Survey and Taxonomy of Current Techniques -- 10 Adaptive Traffic Fingerprinting for Darknet Threat Intelligence -- 11 A Model for Android and iOS Applications Risk Calculations: CVSS Analysis and Enhancement Using Case-Control Studies -- 12 A Honeypot Proxy Framework for Deceiving Attackers with Fabricated Content -- 13 Investigating the Possibility of Data Leakage in Time of Live VM Migration -- 14 Forensics Investigation of OpenFlow-Based SDN Platforms -- 15 Mobile Forensics: A Bibliometric Analysis -- 16 Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies.
  note: edited by Ali Dehghantanha, Mauro Conti, Tooska Dargahi.
  subject:
    topic: Data protection
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computers
  subject:
    topic: Computer communication systems
  subject:
    topic: Security
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Information Systems and Communication Service
  subject:
    topic: Computer Communication Networks
  classification: QA76.9.A25
  classification: 005.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Information Security, 70
  identifier: 9783319739519
  identifier: https://doi.org/10.1007/978-3-319-73951-9
  record info:
    record creation date: 180427
    record change date: 20200313014357.0
    record identifier: 978-3-319-73951-9