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Privacy-preserving data and function in cloud environments using homomorphic encryption
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Amin Hosseingholizadeh   , Farhad Rahmati , Mohammad Ali * |
| Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran. |
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Abstract: (589 Views) |
| With the emergence of new phenomena in the telecommunications and information technology fields, such as cloud computing and smart networks, we are witnessing new challenges in these areas. One of the most significant challenges is the privacy of outsourced data. Due to the limited processing power of new intelligent devices such as tablets and mobile phones, outsourcing computations to these platforms has gained more attention from users. In addition to data privacy, the security of algorithms used in online software is also of great importance. Therefore, software providers may be concerned about the disclosure of their algorithms after outsourcing them to cloud environments. Existing homomorphic encryption systems can provide privacy for data that needs to be processed online. However, the concurrent privacy of algorithms in these systems has not been addressed. To address this, we introduce a simultaneous homomorphic encryption of data and function called SHDF. This system can homomorphically encrypt all algorithms used in the software and the data to be processed on them, enabling necessary computations to be performed on an insecure server. Furthermore, we show that the proposed system is provably secure. Our implementation results indicate that it is usable in cloud environments with the desired efficiency. |
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| Keywords: Homomorphic encryption, Cryptosystems, Cloud computing, Data confidentiality, Data and software security. |
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Full-Text [PDF 3403 kb]
(330 Downloads)
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Type of Study: Research Article |
Subject:
Special
Received: 2023/11/19 | Accepted: 2024/02/7 | Published: 2024/03/12
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