Handbook of Big Data and IoT Security

Handbook of Big Data and IoT Security Front Cover
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384 pages

Book Description

This handbook provides an overarching view of cyber security and forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic is also presented in this book, and it  explains how the IoT forensic can be used to guide investigation of a popular cloud storage service.

A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer , and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image.

In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe.

The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined.  It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. is also often associated with IoT and big data (e.g., cloud-enabled IoT ), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions.

This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.

Book Details

  • Title: Handbook of Big Data and IoT Security
  • Length: 384 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-05-08
  • ISBN-10: 3030105423
  • ISBN-13: 9783030105426
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