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Peer-to-Peer User Identity Verification Time Optimization in IoT Blockchain Network.

Ammar Riadh Kairaldeen1, Nor Fadzilah Abdullah1, Asma Abu-Samah1

  • 1Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.

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|February 28, 2023
PubMed
Summary
This summary is machine-generated.

This study optimizes blockchain identity verification for IoT applications. Using the Modified Merkle Hash Tree (MMHT) with SHA3 and AES-128 encryption significantly reduces verification time by at least 36%.

Keywords:
Internet of Things (IoT)P2Pblockchaindigital integrityencryption algorithmshash functionsprivacy protectionsmart contractuser integrity

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Blockchain technology faces challenges in verifying user identities, especially within Internet of Things (IoT) applications.
  • Ensuring unfalsified identities is critical for secure, decentralized peer-to-peer networks.
  • Existing identity management systems require optimization for speed and reliability in blockchain contexts.

Purpose of the Study:

  • To optimize user identity verification time in decentralized IoT blockchain networks.
  • To evaluate the performance of a user signature-based identity management framework.
  • To identify efficient encryption and hashing algorithms for secure blockchain communication.

Main Methods:

  • Examined a user signature-based identity management framework within a peer-to-peer decentralized IoT blockchain network.
  • Utilized the Modified Merkle Hash Tree (MMHT) data structure algorithm.
  • Compared various encryption techniques (e.g., AES-128) and hash functions (e.g., SHA3) for user signatures.
  • Tested scalability using varying dataset sizes and inter-node transactions.

Main Results:

  • The Modified Merkle Hash Tree (MMHT) algorithm combined with SHA3 hashing and AES-128 encryption achieved the lowest execution time.
  • A minimum of 36% gain in time optimization was observed compared to other tested algorithms.
  • The proposed framework demonstrated effectiveness in identifying malicious code and enhancing user integrity checks.
  • The system ensures network scalability for secure blockchain communication.

Conclusions:

  • The combination of AES-128 encryption, MMHT algorithm, and SHA3 hash function provides a highly efficient solution for blockchain identity management in IoT.
  • This approach significantly improves user integrity check performance and reduces verification time.
  • The study validates the proposed framework's ability to maintain security and scalability in decentralized blockchain networks.