Trust-Awareness to Secure Swarm Intelligence from Data Injection Attack
Bin Han, Dennis Krummacker, Qiuheng Zhou, and Hans D. Schotten
TL;DR
This paper proposes a trust-based security approach to protect swarm intelligence in industrial IoT from data injection attacks, ensuring its practical deployment in future 6G-enabled environments.
Contribution
It introduces a novel trust mechanism specifically designed to secure swarm intelligence against data injection threats in IIoT applications.
Findings
The trust approach effectively detects and mitigates data injection attacks.
Enhanced security enables reliable deployment of swarm intelligence in industrial settings.
The method shows promising results in preliminary evaluations.
Abstract
Enabled by the emerging industrial agent (IA) technology, swarm intelligence (SI) is envisaged to play an important role in future industrial Internet of Things (IIoT) that is shaped by Sixth Generation (6G) mobile communications and digital twin (DT). However, its fragility against data injection attack may halt it from practical deployment. In this paper we propose an efficient trust approach to address this security concern for SI.
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Molecular Communication and Nanonetworks · Advanced Malware Detection Techniques