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

Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for...

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Veröffentlicht in:Sensors (Basel, Switzerland) Jg. 23; H. 4; S. 2106
Hauptverfasser: Kairaldeen, Ammar Riadh, Abdullah, Nor Fadzilah, Abu-Samah, Asma, Nordin, Rosdiadee
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Switzerland MDPI AG 13.02.2023
MDPI
Schlagworte:
Access control
Algorithms
Blockchain
Communication
digital integrity
Digital signatures
encryption algorithms
Internet of Things
P2P
Privacy
Public Key Infrastructure
Sensors
Smart cities
smart contract
Smart houses
user integrity
Internet of Things (IoT)
digital integrity
blockchain
privacy protection
smart contract
hash functions
encryption algorithms
user integrity
P2P
ISSN:1424-8220, 1424-8220
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Abstract Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for the user signature in a peer-to-peer decentralized IoT blockchain network. To achieve this, a user signature-based identity management framework is examined by using various encryption techniques and contrasting various hash functions built on top of the Modified Merkle Hash Tree (MMHT) data structure algorithm. The paper presents the execution of varying dataset sizes based on transactions between nodes to test the scalability of the proposed design for secure blockchain communication. The results show that the MMHT data structure algorithm using SHA3 and AES-128 encryption algorithm gives the lowest execution time, offering a minimum of 36% gain in time optimization compared to other algorithms. This work shows that using the AES-128 encryption algorithm with the MMHT algorithm and SHA3 hash function not only identifies malicious codes but also improves user integrity check performance in a blockchain network, while ensuring network scalability. Therefore, this study presents the performance evaluation of a blockchain network considering its distinct types, properties, components, and algorithms’ taxonomy.
AbstractList Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for the user signature in a peer-to-peer decentralized IoT blockchain network. To achieve this, a user signature-based identity management framework is examined by using various encryption techniques and contrasting various hash functions built on top of the Modified Merkle Hash Tree (MMHT) data structure algorithm. The paper presents the execution of varying dataset sizes based on transactions between nodes to test the scalability of the proposed design for secure blockchain communication. The results show that the MMHT data structure algorithm using SHA3 and AES-128 encryption algorithm gives the lowest execution time, offering a minimum of 36% gain in time optimization compared to other algorithms. This work shows that using the AES-128 encryption algorithm with the MMHT algorithm and SHA3 hash function not only identifies malicious codes but also improves user integrity check performance in a blockchain network, while ensuring network scalability. Therefore, this study presents the performance evaluation of a blockchain network considering its distinct types, properties, components, and algorithms’ taxonomy.
Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for the user signature in a peer-to-peer decentralized IoT blockchain network. To achieve this, a user signature-based identity management framework is examined by using various encryption techniques and contrasting various hash functions built on top of the Modified Merkle Hash Tree (MMHT) data structure algorithm. The paper presents the execution of varying dataset sizes based on transactions between nodes to test the scalability of the proposed design for secure blockchain communication. The results show that the MMHT data structure algorithm using SHA3 and AES-128 encryption algorithm gives the lowest execution time, offering a minimum of 36% gain in time optimization compared to other algorithms. This work shows that using the AES-128 encryption algorithm with the MMHT algorithm and SHA3 hash function not only identifies malicious codes but also improves user integrity check performance in a blockchain network, while ensuring network scalability. Therefore, this study presents the performance evaluation of a blockchain network considering its distinct types, properties, components, and algorithms' taxonomy.Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities linked to IoT applications. This study focuses on optimizing user identity verification time by employing an efficient encryption algorithm for the user signature in a peer-to-peer decentralized IoT blockchain network. To achieve this, a user signature-based identity management framework is examined by using various encryption techniques and contrasting various hash functions built on top of the Modified Merkle Hash Tree (MMHT) data structure algorithm. The paper presents the execution of varying dataset sizes based on transactions between nodes to test the scalability of the proposed design for secure blockchain communication. The results show that the MMHT data structure algorithm using SHA3 and AES-128 encryption algorithm gives the lowest execution time, offering a minimum of 36% gain in time optimization compared to other algorithms. This work shows that using the AES-128 encryption algorithm with the MMHT algorithm and SHA3 hash function not only identifies malicious codes but also improves user integrity check performance in a blockchain network, while ensuring network scalability. Therefore, this study presents the performance evaluation of a blockchain network considering its distinct types, properties, components, and algorithms' taxonomy.
Audience Academic
Author Abu-Samah, Asma
Abdullah, Nor Fadzilah
Kairaldeen, Ammar Riadh
Nordin, Rosdiadee
AuthorAffiliation Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
AuthorAffiliation_xml – name: Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia
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  givenname: Nor Fadzilah
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  surname: Nordin
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/36850701$$D View this record in MEDLINE/PubMed
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Issue 4
Keywords Internet of Things (IoT)
digital integrity
blockchain
privacy protection
smart contract
hash functions
encryption algorithms
user integrity
P2P
Language English
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  doi: 10.1155/2021/4401809
– volume: 7
  start-page: 22328
  year: 2019
  ident: ref_5
  article-title: A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2896108
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Snippet Blockchain introduces challenges related to the reliability of user identity and identity management systems; this includes detecting unfalsified identities...
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StartPage 2106
SubjectTerms Access control
Algorithms
Blockchain
Communication
digital integrity
Digital signatures
encryption algorithms
Internet of Things
P2P
Privacy
Public Key Infrastructure
Sensors
Smart cities
smart contract
Smart houses
user integrity
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Title Peer-to-Peer User Identity Verification Time Optimization in IoT Blockchain Network
URI https://www.ncbi.nlm.nih.gov/pubmed/36850701
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