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Detection of malicious nodes based on consortium blockchain.

Song Luo¹, Lianghai Lai¹, Tan Hu¹

¹College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China.

Peerj. Computer Science

|July 10, 2024

Summary

This study introduces a novel algorithm for detecting malicious nodes in Social Internet of Things (SIoT) systems using consortium blockchains. The inter-block delay method, enhanced by DBSCAN clustering, effectively identifies threats while preserving privacy.

Keywords:

Machine learning Malicious node detection Privacy protection Social Internet of Things

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Area of Science:

Computer Science
Cybersecurity
Network Engineering

Background:

The proliferation of Internet of Things (IoT) devices has led to massive interconnected systems.
Social Internet of Things (SIoT) extends IoT, facing significant security challenges due to heterogeneity and resource limitations.
Trust and security in SIoT data interaction are critical, with malicious node detection being a key focus.

Purpose of the Study:

To address security issues in SIoT data interaction by improving malicious node detection.
To explore the integration of consortium blockchains with SIoT for enhanced security and trust.
To propose a novel algorithm for detecting malicious nodes that meets SIoT requirements like privacy and timeliness.

Main Methods:

Focus on consortium blockchain networks for SIoT malicious node detection.
Developed an algorithm based on inter-block delay, considering node information characteristics.
Employed unsupervised clustering algorithms (K-means and DBSCAN) for data analysis and comparison.

Main Results:

DBSCAN demonstrated superior clustering performance compared to K-means on consortium chain data.
The proposed inter-block delay algorithm effectively detects malicious nodes in SIoT environments.
Acquired data was successfully transmitted onto the chain, validating the detection process.

Conclusions:

The proposed algorithm is highly effective for detecting malicious nodes in combined SIoT and consortium blockchain networks.
Inter-block delay analysis, coupled with DBSCAN, offers a robust solution for SIoT security challenges.
The method ensures privacy, subjectivity, uncertainty, lightweight, and dynamic timeliness in malicious node detection.