Comprehensive analysis of services towards enhancing security in IoT-based agriculture

• Published in: Measurement. Sensors Vol. 24; p. 100599
• Main Authors: Anand, Sakshi, Sharma, Avinash
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2022; Elsevier
• Subjects: Agriculture precision; Blockchain; Clustering key management; IoT; Security; Web interface; WSN; Clustering key management; Web interface; WSN; Blockchain; Security; Agriculture precision; IoT
• DOI: 10.1016/j.measen.2022.100599
• ISSN: 2665-9174

The Internet's ever-increasing popularity may be attributed to its ubiquitous accessibility. At this point, IoT has reached its pinnacle, with a wide variety of devices and appliances effectively linked to sensors & Internet, ushering in a new age of convenience and connectivity. It is challenging to secure because of the diverse combination of sensors, the Internet, and objects. Using Internet of Things (IoT) sensors, farmers may control their crops and agricultural fields remotely. Recent studies have concentrated on finding ways to improve precision agriculture's security infrastructure. Prior efforts to improve security services in the case of precision agriculture enabled by IoT have been minimal. By resolving issues related to cluster key management and overcoming obstacles associated with web interface configuration, the proposed work has established a novel approach that enables cluster key management to enhance security. Additionally, a web interface for gathering information from sensor nodes has been developed. After an IoT sensor detects a signal, the user may handle notifications using a web interface. When dealing with the vast infrastructure of IoT, it may be challenging to ensure the security of individual sensor nodes, particularly when only partial details about the hardware and the capacity for deployment are available. As a result, key management has emerged as a critical issue, especially in light of the node-capturing assault. Using the EBS function Object() { [native code] } and the Chinese remainder theorem, this research provides a new method of cluster key management that may improve agricultural accuracy. After collecting information from the nodes, the Backend Server sends a filtered list, together with preloaded keys and an authentication code, to the Cluster Head. This system incorporates a secondary layer of encryption for further protection. Our proposed method outperforms existing strategies in terms of delivery success rate, energy efficiency, and packet loss.