What are the best practices for implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context?
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Implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context requires several best practices. One approach is to use a strong, accountable, and distributed auditing scheme that provides fine-grained read-write access and comparative analysis for accountability and auditing of data services . Another solution is to leverage blockchain technology and smart contracts to create an unforgeable log for auditing and automatic verification of Service Level Agreements (SLAs) . Additionally, a fine-grained and controllably editable cloud-based data sharing scheme can be implemented, which allows the data owner to specify access control policies and enables tracing of malicious users . Utilizing a framework called Cloud Information Accountability can also ensure tracking of user data usage in the cloud, with features such as homomorphic encryption and distributed accountability . Finally, a concept of data sovereignty can be implemented, which provides transparency, trust, and security in virtual product development by generating an overview of data location and allowing data owners to maintain control over their data .
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2 Citations | The provided paper does not explicitly mention the best practices for implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context. |
04 Nov 2022 | The provided paper does not specifically mention the best practices for implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context. |
1 Citations | The provided paper does not specifically discuss the best practices for implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context. |
| The provided paper does not specifically discuss the best practices for implementing and maintaining distributed accountability mechanisms for data sharing in a cloud context. |
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