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21 March 2023 Privacy protection oriented on data stream computing
Renjie He, Xianghan Zheng, Gong Wang
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Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 126090F (2023) https://doi.org/10.1117/12.2671852
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE
Abstract
Data security has always been one of the public concerns, and homomorphic encryption technology, as one of the effective means to ensure data security, has always been a hot topic of academic research. Traditional machine learning is trained in a batch environment. In practice, data owners tend to outsource data and model training tasks to third-party clouds with huge computing resources, but data outsourcing carries the risk of privacy leakage. Therefore, in order to prevent this situation, an effective method is to encrypt the data before the outsourcing, and the third-party cloud trains the machine model of the ciphertext data. This method has special requirements for encryption algorithms which should support computation directly on the ciphertext data. This paper presents a novel data flow computing privacy protection framework based on the homomorphic encryption algorithm CKKS and the flow data processing engine Flink, called SDPPF (Streaming Data Privacy Protection on Flink). The proposed framework supports the functions of data stream encryption, decryption and ciphertext computing, and expands the functions of vector point multiplication and array sum operation on the basic simultaneous operation supported by the original CKKS algorithm. This paper also selects a classical machine learning algorithm: KNN algorithm, combined with the homomorphic encryption algorithm CKKS to realize the privacy protection machine learning algorithm.
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Renjie He, Xianghan Zheng, and Gong Wang "Privacy protection oriented on data stream computing", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 126090F (21 March 2023); https://doi.org/10.1117/12.2671852
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KEYWORDS
Data privacy
Data processing
Data storage
Computer security
Machine learning
Clouds
Data modeling
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