Harnessing the Synergy Between Artificial Intelligence and Blockchain for Enhancing Transparency Security

In the recommended technique, AI and blockchain technology improve system stability and projected maintenance. This innovative technique begins with sensor data collection and preprocessing. This covers cleaning, normalizing, and extracting characteristics for AI model training. The model’s projections set alarming limitations. These are securely stored on a blockchain for data transparency. Continuous feedback loops make data processing safer and enhance model prediction. Combining monitor data with model projections to identify problems and provide effective solutions makes the system more trustworthy. Adaptive beamforming improves optical communication by changing beamforming weights and channel responses in real time, enhancing signal integrity and performance. The technique enhances transparency, security, automation efficiency, scalability, portability, data integrity, privacy protection, system speed, resource usage, fault tolerance, cost-effectiveness, and user experience. Simple, safe, and effective system management and predictive maintenance are demonstrated by their consistently higher performance than prior methods. AI and blockchain work together to establish a new standard by eliminating current constraints and changing all elements.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ihcsp63227.2024.10960028
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.78
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Harnessing the Synergy Between Artificial Intelligence and Blockchain for Enhancing Transparency Security

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1 citations
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article

Harnessing the Synergy Between Artificial Intelligence and Blockchain for Enhancing Transparency Security

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article en
1 citations

Abstract

In the recommended technique, AI and blockchain technology improve system stability and projected maintenance. This innovative technique begins with sensor data collection and preprocessing. This covers cleaning, normalizing, and extracting characteristics for AI model training. The model’s projections set alarming limitations. These are securely stored on a blockchain for data transparency. Continuous feedback loops make data processing safer and enhance model prediction. Combining monitor data with model projections to identify problems and provide effective solutions makes the system more trustworthy. Adaptive beamforming improves optical communication by changing beamforming weights and channel responses in real time, enhancing signal integrity and performance. The technique enhances transparency, security, automation efficiency, scalability, portability, data integrity, privacy protection, system speed, resource usage, fault tolerance, cost-effectiveness, and user experience. Simple, safe, and effective system management and predictive maintenance are demonstrated by their consistently higher performance than prior methods. AI and blockchain work together to establish a new standard by eliminating current constraints and changing all elements.

Chandigarh University (IN), Alfaisal University (SA), Salesforce (United States) (US), Imam Abdulrahman Bin Faisal University (SA)
Openalex Percentile: Top 17%
Blockchain Technology Applications and Security
0.78
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