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

Abstract

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.

Authors and Affiliations

Aissam OUTCHAKOUCHT, Hamza ES-SAMAALI, Jean Philippe LEROY

Keywords

Related Articles

SIP Signaling Implementations and Performance Enhancement over MANET: A Survey

The implementation of the Session Initiation Protocol (SIP)-based Voice over Internet Protocol (VoIP) and multimedia over MANET is still a challenging issue. Many routing factors affect the performance of SIP signaling a...

New Mathematical Modeling of Three-Level Supply Chain with Multiple Transportation Vehicles and Different Manufacturers

Nowadays, no industry can move in global markets individually and independently of competitors because they are part of a supply chain and the success of each member of the chain influences the others. In this paper, the...

Output Feedback Controller Synthesis for Discrete-Time Nonlinear Systems

This paper presents a computational approach for solving optimal control problem for a class of nonlinear discrete-time systems. We focus on problem in which a pre-specified N local subsystems are given to describe the s...

Intelligent Irrigation Management System

It is widely known that water resources are decreasing around the world. Rapid urbanization, population growth, industries and the expansion of agriculture are increasing demand for freshwater. In most countries, includi...

Process Improvements for Crowdsourced Software Testing

Crowdsourced software testing has been a common practice lately. It refers to the use of crowdsourcing in software testing activities. Although the crowd testing is a collaborative process by nature, there is no availabl...

Download PDF file
  • EP ID EP260618
  • DOI 10.14569/IJACSA.2017.080757
  • Views 107
  • Downloads 0

How To Cite

Aissam OUTCHAKOUCHT, Hamza ES-SAMAALI, Jean Philippe LEROY (2017). Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of Things. International Journal of Advanced Computer Science & Applications, 8(7), 417-424. https://europub.co.uk/articles/-A-260618