The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges
Open accessAbstract
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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Cites
Shamir, A. (1979) · Communications of the ACM · doi:10.1145/359168.359176 · Cited by 13,756
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Decentralizing Privacy: Using Blockchain to Protect Personal Data
Zyskind, G., Nathan, O., & Pentland, A. '. (2015) · 2015 IEEE Security and Privacy Workshops · doi:10.1109/spw.2015.27 · Cited by 2,617
Blockchain for IoT security and privacy: The case study of a smart home
Dorri, A., Kanhere, S. S., Jurdak, R., & Gauravaram, P. (2017) · 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2017.7917634 · Cited by 1,843 · cited 3×
“Dorri et al. [34] introduced a smart home tier based on the blockchain technology, which can be adapted for greenhouse.”
BackgroundAlgorand: Scaling Byzantine Agreements for Cryptocurrencies
Gilad, Y., Hemo, R., Micali, S., Vlachos, G., & Zeldovich, N. (2017) · Proceedings of the 26th Symposium on Operating Systems Principles · doi:10.1145/3132747.3132757 · Cited by 1,499
Blockchain Meets IoT: An Architecture for Scalable Access Management in IoT
Novo, O. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2812239 · Cited by 1,318
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Smart contract-based access control for the internet of things
Zhang, Y., Kasahara, S., Shen, Y., Jiang, X., & Wan, J. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2847705 · Cited by 788
Bubbles of Trust: A decentralized blockchain-based authentication system for IoT
Hammi, M. T., Hammi, B., Bellot, P., & Serhrouchni, A. (2018) · Computers & Security · doi:10.1016/j.cose.2018.06.004 · Cited by 691 · cited 1×
“To ensure authentication and robust identification of IoT devices in IoT application, Hammi et al. [89] proposed an original decentralized system, called bubbles of trust , which can be applied for green IoT-based agriculture.”
BackgroundFairaccess: a new blockchain-based access control framework for the internet of things
Ouaddah, A., Abou Elkalam, A., & Ait Ouahman, A. (2016) · Security and Communication Networks · doi:10.1002/sec.1748 · Cited by 688
Cited by
Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review
Jamshed, M. A., Ali, K., Abbasi, Q. H., Imran, M. A., & Ur-Rehman, M. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3148128 · Cited by 495
Parmentola, A., Petrillo, A., Tutore, I., & De Felice, F. (2022) · Business Strategy and the Environment · doi:10.1002/bse.2882 · Cited by 429
Deep Learning-Based Intrusion Detection for Distributed Denial of Service Attack in Agriculture 4.0
Ferrag, M. A., Shu, L., Djallel, H., & Choo, K.-K. R. (2021) · Electronics · doi:10.3390/electronics10111257 · Cited by 253
Self-citationA Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture
Kalyani, Y., & Collier, R. (2021) · Sensors · doi:10.3390/s21175922 · Cited by 228
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey
Peng, K., Li, M., Huang, H., Wang, C., Wan, S., & Choo, K.-K. R. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3074544 · Cited by 130
Metadata
- Authors
- Ferrag, M. A., Shu, L., Yang, X., Derhab, A., & Maglaras, L.
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 32031-32053
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3005847836
- Cited by
- 449
- References
- 13
- FWCI
- 58.81
- Type
- journal article
- Language
- en
- Open access
- gold
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