Optimization of Graph Clustering Algorithm with Enhanced Security using Homomorphic Encryption in Block Chain
DOI:
https://doi.org/10.54228/rh1az050Keywords:
Homomorphic Encryption, Power Iteration Clustering, Blockchain, Privacy.Abstract
Power iteration clustering (PIC) is a clustering algorithm used to partition data into
groups based on similarity. Blockchain technology has been widely adopted for data storage
and management due to its immutability and security features. However, privacy and security
concerns arise when sensitive data is stored on the blockchain. Homomorphic encryption
(HE) is a cryptographic technique that can enable secure computation on encrypted data,
and can be used to address these concerns. This paper proposes the implementation of PIC
algorithm in blockchain with enhanced security using Homomorphic Encryption. The
proposed framework ensures privacy and security of the data by using HE to encrypt and
decrypt the data. This also enables secure computation on encrypted data, without the need
to decrypt it first. The PIC algorithm is used for clustering the data, which ensures that similar
data points are grouped together. Implementing PIC algorithm in blockchain with enhanced
security using HE has the potential to address privacy and security concerns in blockchainbased systems, while enabling effective and efficient clustering of data. This can enable new use cases for blockchain technology in domains such as healthcare, finance, and ecommerce, where privacy and security of data are critical.
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