Secured IoT Model for Monitoring Smart Field Data Through Real-Time Cloud Integration Utilizing Lightweight Cryptography

Abstract

Implementing an Internet of Things (IoT)-powered system in agriculture, supported by sensors for real-time data collection, is crucial. Nowadays, there has been a surge in the adoption of sensor-based IoT devices in agriculture, which is a cutting-edge communication technology embraced by agricultural entrepreneurs and farmers. Agricultural entrepreneurs and farmers utilize this technology to execute various agricultural tasks with the aim of enhancing productivity, improving monitoring capabilities, and reducing labor costs. In the proposed method, the sensor detects the change in temperature and humidity and transmits sensor data to the cloud server after every 2 sec. The user can request this data from the cloud. There is a significant security and privacy threat during data transmission. Because of the diverse and dynamic nature of the IoT network, traditional cryptographic algorithms are not suitable for it. The approach employs two levels of encryption, namely the Substitution-Caesar cipher and the Advanced Encryption Standard (AES), to ensure the secure transmission of sensor data. Genetic algorithm (GA) is employed for key generation in order to improve system security. Mobile applications, like RaspController, that are easily accessible can be utilized to monitor the temperature and humidity of the field. The obtained average avalanche effect of the proposed method is about 55%, which shows the strength of the algorithm. The resulting encryption and decryption times are 0.390 ms and 0.110 ms, respectively. Furthermore, the suggested hybrid approach exhibits better performance on specific parameters when compared to cutting-edge cryptographic algorithms like DES, 3DES, RSA, Blowfish, and ECC.