Quantum Inspired Intrusion Detection Architecture for Fog Computing  Based Smart Agriculture Environments

Dipti Prava Sahu, Dr. B. L. Raina

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Published: Feb 20, 2019

Keywords:

Agriculture Cybersecurity, Fog Computing, Intrusion Detection, Internet of Agriculture Things, Quantum Neural Classification, Smart Farming

Dipti Prava Sahu, Dr. B. L. Raina

Abstract

The rapid expansion of the Internet of Agriculture Things (IoAT) has significantly increased the volume of realtime agricultural data exchanged across fog computing platforms, with recent reports indicating that smartfarming deployments are expected to exceed 30 billion connected IoT devices globally by 2030. Studies also reveal that cyberattacks targeting agricultural monitoring systems

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Vol. 56 No. 2 (2019): Volume 56 No 2 (2019)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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