Semantic Scholar Open Access 2020 309 sitasi

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

M. Ferrag Lei Shu Xing Yang A. Derhab L. Maglaras

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (5)

M. Ferrag

Lei Shu

Xing Yang

A. Derhab

L. Maglaras

Format Sitasi

APA MLA BibTeX

Ferrag, M., Shu, L., Yang, X., Derhab, A., Maglaras, L. (2020). Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges. https://doi.org/10.1109/ACCESS.2020.2973178

Akses Cepat

Lihat di Sumber doi.org/10.1109/ACCESS.2020.2973178

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 309×
Sumber Database: Semantic Scholar
DOI: 10.1109/ACCESS.2020.2973178
Akses: Open Access ✓