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Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of Things

International journal of advanced computer science & applications, 2017-01, Vol.8 (7)

2017. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2158-107X ;EISSN: 2156-5570 ;DOI: 10.14569/IJACSA.2017.080757

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  • Title:
    Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of Things
  • Author: OUTCHAKOUCHT, Aissam ; ES-SAMAALI, Hamza ; Philippe, Jean
  • Subjects: Access control ; Blockchain ; Internet of Things ; Machine learning
  • Is Part Of: International journal of advanced computer science & applications, 2017-01, Vol.8 (7)
  • Description: The Internet of Things (IoT) is now destroying the barriers between the real and digital worlds. However, one of the huge problems that can slow down the development of this global wave, or even stop it, concerns security and privacy requirements. The criticality of these latter comes especially from the fact that the smart objects may contain very intimate information or even may be responsible for protecting people’s lives. In this paper, the focus is on access control in the IoT context by proposing a dynamic and fully distributed security policy. Our proposal will be based, on one hand, on the concept of the blockchain to ensure the distributed aspect strongly recommended in the IoT; and on the other hand on machine learning algorithms, particularly on reinforcement learning category, in order to provide a dynamic, optimized and self-adjusted security policy.
  • Publisher: West Yorkshire: Science and Information (SAI) Organization Limited
  • Language: English
  • Identifier: ISSN: 2158-107X
    EISSN: 2156-5570
    DOI: 10.14569/IJACSA.2017.080757
  • Source: ProQuest Central
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