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Big Data and Internet of Things Security and Forensics: Challenges and Opportunities

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Handbook of Big Data and IoT Security

Abstract

With millions to billions of connected Internet of Things (IoT) devices and systems sending heterogeneous raw and processed data through the IoT network, we need to be able to effectively utilize big data analytical techniques and solutions and ensure the security and privacy of IoT data and services against the broad range of attackers. Further complicating the challenge is the increasing number of nodes and complexity of the IoT network and ecosystem, for example the increasing number and size of audit and security logs and intrusion data to be collected and analyzed. The purpose of this handbook is to explore cyber security, forensics and threat intelligence challenges and solutions relating to IoT and big data.

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Authors and Affiliations

  1. Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON, Canada

    Amin Azmoodeh & Ali Dehghantanha

  2. Department of Computer Science & Engineering, Shiraz University, Shiraz, Iran

    Amin Azmoodeh

  3. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

Authors
  1. Amin Azmoodeh
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  2. Ali Dehghantanha
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  3. Kim-Kwang Raymond Choo
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Correspondence to Ali Dehghantanha .

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Editors and Affiliations

  1. Cyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON, Canada

    Ali Dehghantanha

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

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Azmoodeh, A., Dehghantanha, A., Choo, KK.R. (2019). Big Data and Internet of Things Security and Forensics: Challenges and Opportunities. In: Dehghantanha, A., Choo, KK. (eds) Handbook of Big Data and IoT Security. Springer, Cham. https://doi.org/10.1007/978-3-030-10543-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-10543-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10542-6

  • Online ISBN: 978-3-030-10543-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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