期刊
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
卷 15, 期 5, 页码 906-912出版社
IEEE COMPUTER SOC
DOI: 10.1109/TDSC.2017.2682244
关键词
Privacy-preserving; classification; SVM; paillier encryption
类别
资金
- Natural Science Foundation of China [61602240]
- Natural Science Foundation of Jiangsu Province of China [BK20150760]
- Research Fund of Guangxi Key Laboratory of Trusted Software [kx201611]
Recently, Rahulamathavan et al. propose a privacy preserving scheme for outsourcing SVM classification. Their core contribution is a secure protocol to attain the sign of numbers in encrypted form. In this paper, we observe that Rahulamathavan et al.'s protocol will suffer from some soundness and security problems. Then, we propose a new scheme to securely obtain the encrypted numbers' sign. Theoretical analysis and experiment results show our proposed scheme can not only fix the soundness and security problems, but also achieve higher efficiency.
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