A Method for Trust-Based Collaborative Smart Device Selection and Resource Allocation in the Financial Internet of Things
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a novel trust-based algorithm for smart devices in the Financial Internet of Things (FIoT). It enhances security against attacks and optimizes resource allocation, improving system reliability.
Area Of Science
- Computer Science
- Cybersecurity
- Artificial Intelligence
Background
- The Financial Internet of Things (FIoT) faces significant security threats due to vulnerable intelligent devices.
- Limited resources and AI deployment in FIoT can compromise system availability.
- Malicious attacks pose substantial risks to FIoT stability and security.
Purpose Of The Study
- To propose a trust-based collaborative smart device selection algorithm for FIoT.
- To enhance resistance against malicious behaviors and attacks in FIoT environments.
- To address resource allocation challenges for trusted devices under constrained edge resources.
Main Methods
- Developed a trust-based algorithm integrating subjective/objective trust, dynamic blacklists/whitelists, domain knowledge, and game theory.
- Implemented real-time dynamic trust level evaluation and a transformation mechanism for blacklists/whitelists.
- Proposed a coalition game-based algorithm for resource allocation considering device activity and trust levels.
Main Results
- The proposed algorithm significantly improves anti-attack capabilities in FIoT smart devices.
- Maintained high task success rates in both single and complex attack scenarios.
- Demonstrated superior task success rates and resource allocation performance compared to existing methods.
Conclusions
- The trust-based collaborative device selection algorithm effectively enhances FIoT security and reliability.
- The integrated approach of adaptive trust evaluation and dynamic lists improves device trustworthiness.
- The coalition game-based resource allocation is efficient for trusted devices in constrained environments.
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