Research progress of privacypreserving support vector machines
1. School of Computer Science and Communication Engineering, Jiangsu University,
Zhenjiang, Jiangsu 212013, China; 2. Information Center, Jiangsu University,
Zhenjiang, Jiangsu 212013, China; 3. Zhenjiang Municipal Water Conservancy Bureau,
Zhenjiang, Jiangsu 212001, China
Abstract：To realize information security for future support vector machines(SVM)
data mining, the privacypreserving support vector machines(PPSVM) was investigated
to obtain effective result. The characteristics of SVM classifiers were analyzed to
find the security hole. The latest literatures and related research were summarized.
The recent progress of privacypreserving support vector machines was presented
based on data perturbation and data encryption. The future hot research directions
of new privacypreserving support vector machine technologies in distributed
environment, more effective fully homomorphic encryption(FHE) schemes and privacy
preserving support vector machine technologies for big data mining were pointed out.
2017, Vol. 38 
