Handbook of Big Data and IoT Security

Handbook of Big Data and IoT Security
Author: Ali Dehghantanha
Publisher: Springer
Total Pages: 384
Release: 2019-03-22
Genre: Computers
ISBN: 3030105431


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This handbook provides an overarching view of cyber security and digital 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 framework is also presented in this book, and it explains how the IoT forensic framework 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 Online Game, 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, Shell 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. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), 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.


Handbook of Big Data and IoT Security
Language: en
Pages: 384
Authors: Ali Dehghantanha
Categories: Computers
Type: BOOK - Published: 2019-03-22 - Publisher: Springer

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This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existin
Handbook of Big Data and IoT Security
Language: en
Pages:
Authors: Ali Dehghantanha
Categories: Big data
Type: BOOK - Published: 2019 - Publisher:

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This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existin
Handbook of Big Data Privacy
Language: en
Pages: 397
Authors: Kim-Kwang Raymond Choo
Categories: Computers
Type: BOOK - Published: 2020-03-18 - Publisher: Springer Nature

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This handbook provides comprehensive knowledge and includes an overview of the current state-of-the-art of Big Data Privacy, with chapters written by internatio
Handbook of IoT and Big Data
Language: en
Pages: 268
Authors: Vijender Kumar Solanki
Categories: Computers
Type: BOOK - Published: 2019-02-21 - Publisher: CRC Press

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This multi-contributed handbook focuses on the latest workings of IoT (internet of Things) and Big Data. As the resources are limited, it's the endeavor of the
Handbook of Research on Big Data and the IoT
Language: en
Pages: 568
Authors: Kaur, Gurjit
Categories: Computers
Type: BOOK - Published: 2019-03-29 - Publisher: IGI Global

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The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage.