# Secret sharing over KERNEL-BASED DATA MINING SYSTEM(暫時寫的)
## Abstract
## 1. Introduction(最後寫)
### Privacy preserving distributed SVM scheme
### Insiders within organizations collude with outsiders
## 2. Related Work
### A distinction between prior work
### Advantage
### The attacking scenario
### 3. Preliminary
## 需要的前備 knowledge:
##### Support Vector machine - Linear Kernel function
##### Secret Sharing - Randomly split secret share
## 3. The Privacy Preserving Method
### PPSVM Procedure
### System Model
### The Privacy Preserving Method
## 4. Experiment analysis
### Experiment Setup
## 5. Conclusion
### conclude the paper
### future work
### limitation
## References