A secure and dependable trust assessment (SDTS) scheme for industrial communication networks

Area of Science:

• Computer Science
• Network Security
• Industrial Systems

Background:

• Industrial Wireless Sensor Networks (WSNs) face significant security threats due to their architecture.
• Node collaboration is crucial for WSN survival and effective industrial applications.
• Existing trust management schemes require enhancement to address complex attacks.

Purpose of the Study:

• To propose a Secure, Dependable Trust Assessment (SDTS) scheme for industrial WSNs.
• To improve security and dependability through robust trust evaluation.
• To counter diverse internal attacks and natural calamities.

Main Methods:

• Developed a trust evaluation function with adjustable trust ranges.
• Incorporated direct, indirect, data, and misbehavior-based trust components.
• Integrated abnormal attenuation and dynamic slide lengths for resilience.

Main Results:

• SDTS demonstrated high attack detection rates (90%) and detection accuracy (91%).
• Achieved low false-positive (2.5%) and false-negative (2%) rates.
• Showcased efficient performance with low energy consumption (0.40 J) and high throughput (108 Kbps).

Conclusions:

• The proposed SDTS scheme is effective in enhancing security and dependability in industrial WSNs.
• SDTS successfully mitigates various internal attacks and environmental challenges.
• The scheme offers a practical and efficient solution for secure industrial WSN operation.