{"title":"Encrypted Image Retrieval Scheme on Blockchain","authors":"Chandiya C, Dhanushya D, Harithaa G","doi":"10.53759/acims/978-9914-9946-9-8_7","DOIUrl":null,"url":null,"abstract":"Blockchainhas flourished in a variety of industries throughout a period known as the \"digital economy\", including finance and digital copyright. Blockchain is highlighting the storage issue more and more. In order to lessen the demand for node storage, the existing blockchain maintains block information in external storage devices. Blockchain transaction retrieval issue is brought on by the new blockchain storage approach. The issue arises when the user is required to download the decentralized blockchain ledger information from the external storage system. Since, they couldn't locate the node comprising that particular transaction, therefore which results in significant communication overhead. We take advantage of the data that is Blockchain is semi-structured for this issue and obtain the common traits of blockchain transactions like the Date and account address. Next, we create a method for retrieving blockchain transactions. Because of the absence of an effective account-specific secondary search data structure addresses, we suggest the scalable B+ tree. For encryption and decryption of Images we have used Elliptic curve Cryptography algorithm and AES algorithm. For Generating Hash value we have used ECDSA Algorithm.","PeriodicalId":261928,"journal":{"name":"Advances in Computational Intelligence in Materials Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Computational Intelligence in Materials Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53759/acims/978-9914-9946-9-8_7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Blockchainhas flourished in a variety of industries throughout a period known as the "digital economy", including finance and digital copyright. Blockchain is highlighting the storage issue more and more. In order to lessen the demand for node storage, the existing blockchain maintains block information in external storage devices. Blockchain transaction retrieval issue is brought on by the new blockchain storage approach. The issue arises when the user is required to download the decentralized blockchain ledger information from the external storage system. Since, they couldn't locate the node comprising that particular transaction, therefore which results in significant communication overhead. We take advantage of the data that is Blockchain is semi-structured for this issue and obtain the common traits of blockchain transactions like the Date and account address. Next, we create a method for retrieving blockchain transactions. Because of the absence of an effective account-specific secondary search data structure addresses, we suggest the scalable B+ tree. For encryption and decryption of Images we have used Elliptic curve Cryptography algorithm and AES algorithm. For Generating Hash value we have used ECDSA Algorithm.