Sure! There are several other methodologies that can be used to preserve privacy when sharing data in cloud computing, besides multi-party access control:
Data encryption: Data encryption is a method of converting plain text into a ciphertext that can only be deciphered with the correct encryption key. This ensures that the data remains confidential, even if it is intercepted or accessed by unauthorized users.
Data anonymization: Data anonymization is a process of removing personally identifiable information (PII) from data before it is shared. This helps to preserve the privacy of individuals, as it ensures that their identity cannot be linked to the data.
Data fragmentation: Data fragmentation is a method of dividing sensitive data into smaller fragments and distributing those fragments across multiple servers or storage devices. This helps to ensure that sensitive data cannot be accessed by unauthorized users, even if they are able to access one of the servers or storage devices.
Homomorphic encryption: Homomorphic encryption is a method of performing computations on encrypted data without having to first decrypt it. This helps to ensure that sensitive data remains confidential, even when it is being processed by third-party service providers.
Access control policies: Access control policies specify the conditions under which data can be accessed and processed. Access control policies can be used to restrict access to sensitive data, ensuring that only authorized users are able to access it.
Differential privacy: Differential privacy is a method of preserving privacy by adding random noise to data before it is shared. This makes it difficult for unauthorized users to identify specific individuals or patterns in the data, while still allowing for meaningful analysis of the data.
These are just a few of the methods that can be used to preserve privacy when sharing data in cloud computing. Each method has its own strengths and weaknesses, and the most effective approach will depend on the specific needs of each organization and the data being shared.
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You can apply confidential computing to process sensitive data. To do that, you have to use Trusted Execution Environments to protect data during the processing. More information can be found in the following papers:
Article Confidential Computing in Cloud/Fog-based Internet of Things Scenarios
Article Systematic Literature Review on the Use of Trusted Execution...
Federated Hybrid Clouds Service Level Agreements and Legal Issues. January 2019. Advances in Intelligent Systems and Computing. DOI: 10.1007/978-981-13-1165-9_44
(PDF) Federated Hybrid Clouds Service Level Agreements and Legal Issues (researchgate.net)
(PDF) Tenant - Vendor and Third-Party Agreements for the Cloud: Considerations for Security Provision (researchgate.net)