Wireless Sensor Network in Agriculture: Model of Cyber Security

Area of Science:

• Agricultural Technology
• Network Security
• Data Management

Background:

• Wireless sensor networks (WSN) are crucial for real-time agriculture monitoring, collecting data like humidity, CO2, and temperature.
• Securing this data is vital to prevent malicious attacks and ensure reliable agricultural productivity.
• Existing security models may not be universally applicable across diverse network topologies.

Purpose of the Study:

• To propose a general, topology-independent data security model for WSN in agriculture.
• To ensure data security from origin to end-user in agricultural monitoring applications.
• To optimize the model considering sensor node architecture, energy efficiency, and practical implementation.

Main Methods:

• Developed a general data security model applicable to various WSN network structures.
• Integrated organizational and technical measures for enhanced security and energy optimization.
• Evaluated the model's energy consumption through network simulations.

Main Results:

• The proposed model provides robust data security for agriculture monitoring WSNs.
• Slight increases in energy consumption were observed: 2% at sender nodes, 7% at receiver nodes, and 1.3% per bit.
• These increases are attributed to the added overhead for network authentication.

Conclusions:

• The developed data security model effectively protects WSN data in agriculture.
• The model balances strong security with acceptable energy efficiency, crucial for battery-powered sensor nodes.
• This approach offers a scalable and widely applicable solution for securing agricultural data.