块链
物联网
计算机科学
计算机安全
信息隐私
农业
互联网隐私
生态学
生物
作者
Mohamed Amine Ferrag,Lei Shu,Xing Yang,Abdelouahid Derhab,Λέανδρος Μαγλαράς
出处
期刊:IEEE Access
[Institute of Electrical and Electronics Engineers]
日期:2020-01-01
卷期号:8: 32031-32053
被引量:423
标识
DOI:10.1109/access.2020.2973178
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI