Validating Integrity in Blockchain: A Comprehensive Framework Integrating Proof of Work, Proof of Stake, and Data Authenticity

Blockchain technologies are inherently decentralized and designed in such a way to ensure data integrity through cryptographic tools such as hashing, Merkle trees, and event consensus mechanisms involving PoW and PoS. This paper therefore develops an integrated model incorporating the aforementioned elements and hence provides a solid framework for real-time, effective, and scalable validation and security of data. The model ensures high compatibility with prevailing data systems to support efficient and scalable processes of validation. The framework, while in testing, has always returned consistent hash times and efficient recording to the blockchain, regardless of size. This flexible use of PoW and PoS makes it a tunable framework according to the needs of a particular application without sacrificing security or efficiency. This includes an anomaly detection system featuring a 93.5 % accuracy rate in robustly identifying abnormalities within the data authentication process.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/netcrypt65877.2025.11102309
Primary Topic
Blockchain Technology Applications and Security
Type
article
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article

Validating Integrity in Blockchain: A Comprehensive Framework Integrating Proof of Work, Proof of Stake, and Data Authenticity

Kamlesh Chandra Purohit, Manika Manwal
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Blockchain Technology Applications and Security
article

Validating Integrity in Blockchain: A Comprehensive Framework Integrating Proof of Work, Proof of Stake, and Data Authenticity

Kamlesh Chandra Purohit, Manika Manwal
article en

Abstract

Blockchain technologies are inherently decentralized and designed in such a way to ensure data integrity through cryptographic tools such as hashing, Merkle trees, and event consensus mechanisms involving PoW and PoS. This paper therefore develops an integrated model incorporating the aforementioned elements and hence provides a solid framework for real-time, effective, and scalable validation and security of data. The model ensures high compatibility with prevailing data systems to support efficient and scalable processes of validation. The framework, while in testing, has always returned consistent hash times and efficient recording to the blockchain, regardless of size. This flexible use of PoW and PoS makes it a tunable framework according to the needs of a particular application without sacrificing security or efficiency. This includes an anomaly detection system featuring a 93.5 % accuracy rate in robustly identifying abnormalities within the data authentication process.

Graphic Era University (IN)
Openalex Percentile: Top 69%
Blockchain Technology Applications and Security
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