P4P Credit to Dr. Yitao Duan and Dr. John Canny from UC Berkeley

https://bid.berkeley.edu/projects/p4p/

Code originate from

http://bid.berkeley.edu/projects/p4p/p4p/code/p4p.tar.gz

Articles Related credit to Dr. Yitao Duan

Large-scale privacy-preserving distributed computation robust against malicious users

Practical private computation and zero-knowledge tools for privacy-preserving distributed data mining

Efficient privacy-preserving association rule mining: P4P style

Vector Addition-based Functions

Zero-knowledge test of vector equivalence granulation of user data with privacy

Distributed_Data_Mining in P4P

Objects for Further Understanding, see issues

1. Challenge vector generation process
2. Data Generation Pattern
3. PeerPassed situation