Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

TLDR

The paper identifies research challenges in security and privacy for green IoT-based agriculture. The authors describe a four-tier green IoT architecture, classify five threat categories, compare state-of-the-art secure and privacy-preserving methods, and analyze blockchain-based solutions and consensus algorithms for adaptation to green IoT agriculture. The survey highlights open challenges and proposes future research directions for security and privacy in green IoT agriculture.

Abstract

This paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture.