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A Stepwise and Hybrid Trust Evaluation Scheme for Tactical Wireless Sensor Networks.

Jihun Lim¹, Dooho Keum¹, Young-Bae Ko¹

¹Department of Computer Engineering, Ajou University, Suwon 16499, Korea.

Sensors (Basel, Switzerland)

|February 23, 2020

Summary

This study introduces a hybrid trust evaluation scheme to detect malicious nodes in tactical wireless sensor networks. The method enhances network reliability and reduces energy consumption for critical battlefield information collection.

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Area of Science:

Computer Science
Network Security
Wireless Sensor Networks

Background:

Tactical wireless sensor networks (TWSNs) are crucial for battlefield intelligence and soldier safety, collecting data on radiation, nuclear, and biochemical threats.
These networks require high reliability for transmitting sensor data to gateways, necessitating the detection of malicious nodes performing packet-dropping attacks.
Energy efficiency is a key constraint for sensors in TWSNs, demanding energy-saving methods for detecting threats.

Purpose of the Study:

To propose a novel, energy-efficient, stepwise and hybrid trust evaluation scheme for identifying malicious nodes in tree-based TWSNs.
To enhance the reliability of tactical sensor networks by effectively mitigating packet-dropping attacks.

Main Methods:

A stepwise and hybrid trust evaluation scheme is proposed for tree-based networks.

Keywords:

tactical networks trust management wireless sensor networks

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Sensors monitor child node traffic patterns and query the gateway.

The gateway employs a hybrid approach, selecting between gateway-assisted and gateway-independent trust evaluation based on the situation.

Main Results:

The proposed scheme effectively locates malicious nodes engaged in packet-dropping attacks.
Simulation results using the OPNET simulator demonstrate a higher packet delivery ratio.
The scheme achieves significantly lower energy consumption compared to existing methods.

Conclusions:

The developed stepwise and hybrid trust evaluation scheme is effective for enhancing TWSN reliability and security.
The proposed method offers a viable solution for energy-constrained tactical sensor networks facing malicious attacks.
This approach contributes to more secure and efficient battlefield information collection.