{"title":"保护云计算中的数据访问责任","authors":"Md.mafiqul Islam","doi":"10.60087/jaigs.vol03.issue01.p195","DOIUrl":null,"url":null,"abstract":"Cloud computing revolutionizes service provision by delivering virtualized services via the internet. The Cloud, a ubiquitous term for this online space, is managed by service providers. However, users engaging with cloud services face concerns regarding data security and privacy, fearing potential misuse by service providers, who may inadvertently expose sensitive data to unauthorized parties. To address this challenge, we introduce a novel framework called the Cloud Information Accountability (CIA) framework, centered on the concept of data liability. Our framework outlines essential requirements and offers guidelines for achieving robust data accountability in cloud environments. Upon data submission by the owner, the service provider gains full access and control over the data, typically governed by traditional access control mechanisms. To enhance transparency and accountability, we propose an algorithm that automates data access logging via JAR files, providing detailed insights into data usage. Our approach aims to bolster trust, mitigate privacy concerns, and fortify security in cloud computing ecosystems.","PeriodicalId":517201,"journal":{"name":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","volume":"122 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Protecting Data Access Liabilities in Cloud Computing\",\"authors\":\"Md.mafiqul Islam\",\"doi\":\"10.60087/jaigs.vol03.issue01.p195\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cloud computing revolutionizes service provision by delivering virtualized services via the internet. The Cloud, a ubiquitous term for this online space, is managed by service providers. However, users engaging with cloud services face concerns regarding data security and privacy, fearing potential misuse by service providers, who may inadvertently expose sensitive data to unauthorized parties. To address this challenge, we introduce a novel framework called the Cloud Information Accountability (CIA) framework, centered on the concept of data liability. Our framework outlines essential requirements and offers guidelines for achieving robust data accountability in cloud environments. Upon data submission by the owner, the service provider gains full access and control over the data, typically governed by traditional access control mechanisms. To enhance transparency and accountability, we propose an algorithm that automates data access logging via JAR files, providing detailed insights into data usage. Our approach aims to bolster trust, mitigate privacy concerns, and fortify security in cloud computing ecosystems.\",\"PeriodicalId\":517201,\"journal\":{\"name\":\"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023\",\"volume\":\"122 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.60087/jaigs.vol03.issue01.p195\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.60087/jaigs.vol03.issue01.p195","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
云计算通过互联网提供虚拟化服务,彻底改变了服务的提供方式。云 "是这一在线空间的通用术语,由服务提供商管理。然而,使用云服务的用户面临着数据安全和隐私方面的担忧,他们担心服务提供商可能会滥用服务,无意中将敏感数据暴露给未经授权的各方。为了应对这一挑战,我们引入了一个以数据责任概念为核心的新型框架,即云信息责任(CIA)框架。我们的框架概述了基本要求,并为在云环境中实现强大的数据责任提供了指导。在所有者提交数据后,服务提供商就获得了对数据的完全访问权和控制权,这通常受传统访问控制机制的制约。为了提高透明度和责任感,我们提出了一种算法,通过 JAR 文件自动记录数据访问情况,从而详细了解数据的使用情况。我们的方法旨在增强云计算生态系统中的信任、减少隐私问题并加强安全性。
Protecting Data Access Liabilities in Cloud Computing
Cloud computing revolutionizes service provision by delivering virtualized services via the internet. The Cloud, a ubiquitous term for this online space, is managed by service providers. However, users engaging with cloud services face concerns regarding data security and privacy, fearing potential misuse by service providers, who may inadvertently expose sensitive data to unauthorized parties. To address this challenge, we introduce a novel framework called the Cloud Information Accountability (CIA) framework, centered on the concept of data liability. Our framework outlines essential requirements and offers guidelines for achieving robust data accountability in cloud environments. Upon data submission by the owner, the service provider gains full access and control over the data, typically governed by traditional access control mechanisms. To enhance transparency and accountability, we propose an algorithm that automates data access logging via JAR files, providing detailed insights into data usage. Our approach aims to bolster trust, mitigate privacy concerns, and fortify security in cloud computing ecosystems.