Research Area: Blockchain Technology
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.
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Author(s) Name: Mohamed Amine Ferrag; Lei Shu; Xing Yang; Abdelouahid Derhab; Leandros Maglaras
Journal name: IEEE Access
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Publisher name: IEEE
DOI: 10.1109/ACCESS.2020.2973178
Volume Information: ( Volume: 8) Page(s): 32031 - 32053
