Article citationsMore>>

Guo, X., Li, Y., Jiang, Y., Wang, J. and Fang, J. (2023) Privacy-Preserving K-Nearest Neighbor Classification over Malicious Participants in Outsourced Cloud Environments. Cryptography, 7, Article 59.
https://doi.org/10.3390/cryptography7040059

has been cited by the following article:

• TITLE: Secure and Efficient Outsourced Computation in Cloud Computing Environments

  AUTHORS: Varun Dixit, Davinderjit Kaur

  KEYWORDS: Secure Computation, Cloud Computing, Homomorphic Encryption, Secure Multiparty Computation, Resource Optimization

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.17 No.9, September 27, 2024

  ABSTRACT: Secure and efficient outsourced computation in cloud computing environments is crucial for ensuring data confidentiality, integrity, and resource optimization. In this research, we propose novel algorithms and methodologies to address these challenges. Through a series of experiments, we evaluate the performance, security, and efficiency of the proposed algorithms in real-world cloud environments. Our results demonstrate the effectiveness of homomorphic encryption-based secure computation, secure multiparty computation, and trusted execution environment-based approaches in mitigating security threats while ensuring efficient resource utilization. Specifically, our homomorphic encryption-based algorithm exhibits encryption times ranging from 20 to 1000 milliseconds and decryption times ranging from 25 to 1250 milliseconds for payload sizes varying from 100 KB to 5000 KB. Furthermore, our comparative analysis against state-of-the-art solutions reveals the strengths of our proposed algorithms in terms of security guarantees, encryption overhead, and communication latency.