A secure framework for IoT-based smart climate agriculture system: Toward blockchain and edge computing

Author:

Ting Li1,Khan Mudassir2,Sharma Ashutosh3,Ansari Mohd Dilshad4

Affiliation:

1. Fuzhou Institute of Technology , Fuzhou , Fujian, 350500 , China

2. Department of Computer Science, College of Science & Arts Tanumah, King Khalid University , Abha , Saudi Arabia

3. Department of Information and Analytical Security Systems, Southern Federal University , Rostov-on-Don , Russia

4. CMR College of Engineering & Technology , Hyderabad , India

Abstract

Abstract An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Data privacy and security as a big challenge in current Internet of Things (IoT) applications, as with the increase in number of connecting devices, these devices are now more vulnerable to security threats. An intelligent fuzzy logic and blockchain technology is implemented for timely analysis and securing the network. The proposed design consists of various sensors that collect real-time data from environment and field such as temperature, soil moisture, light intensity, and humidity. The sensed field information is stored in IoT cloud platform, and after the analysis of entries, watering is scheduled by implementing the intelligent fuzzy logic and blockchain. The intelligent fuzzy logic based on different set of rules for making smart decisions to meet the watering requirements of plant and blockchain technology provides necessary security to the IoT-enabled system. The implementation of blockchain technology allows access only to the trusted devices and manages the network. From the experimentation, it is observed that the proposed system is highly scalable and secure. Multiple users at the same time can monitor and interact with the system remotely by using the proposed intelligent agricultural system. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. The proposed system is capable of notifying users for turning water motor on and off. The experimental outcomes of the proposed system also reveal that it is an efficient and highly secure application, which is capable of handling the process of watering the plants.

Publisher

Walter de Gruyter GmbH

Subject

Artificial Intelligence,Information Systems,Software

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