Optimizing IoT Security with Blockchain: Overcoming Computational Challenges

The Internet of Things (IoT) has made its way into business and home applications, allowing for automation, monitoring, control, and analysis. Blockchain-based solutions use encryption, hashing, permanence, credibility, transparency, trustworthiness, and other security measures to protect IoT networks from numerous attacks. However, integrating blockchains involves complex computational tasks such as creating hashes, verifying hashes, mining blocks, etc, which adds extra computational burden on the system. This increased computational burden often reduces the quality of service for the system, making it less suitable for real-time and high-performance applications. To address this issue, this text introduces an AI algorithm for generating side chains. These side chains offer high security performance like regular blockchains but are generally less computationally complex. As a result, they can be used for secure real-time IoT applications.

Authors

Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2024-12-23
DOI
https://doi.org/10.52783/cana.v32.3105
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing IoT Security with Blockchain: Overcoming Computational Challenges

Hitesh Gehani
Communications on Applied Nonlinear Analysis
Blockchain Technology Applications and Security
article

Optimizing IoT Security with Blockchain: Overcoming Computational Challenges

Hitesh Gehani
article en

Abstract

The Internet of Things (IoT) has made its way into business and home applications, allowing for automation, monitoring, control, and analysis. Blockchain-based solutions use encryption, hashing, permanence, credibility, transparency, trustworthiness, and other security measures to protect IoT networks from numerous attacks. However, integrating blockchains involves complex computational tasks such as creating hashes, verifying hashes, mining blocks, etc, which adds extra computational burden on the system. This increased computational burden often reduces the quality of service for the system, making it less suitable for real-time and high-performance applications. To address this issue, this text introduces an AI algorithm for generating side chains. These side chains offer high security performance like regular blockchains but are generally less computationally complex. As a result, they can be used for secure real-time IoT applications.

Communications on Applied Nonlinear AnalysisVol. 32(5s)
Openalex Percentile: Top 58%
Blockchain Technology Applications and Security
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