Title :
Contemporary trends in Privacy Preserving Collaborative Data Mining- a survey
Author :
Shah, Alpa ; Gulati, Ravi
Author_Institution :
MCA Department, Sarvajanik College of Engineering and Technology, Surat, India
Abstract :
Growing concerns amongst the competitors for maintaining the privacy of their customer´s information has increased in recent years. Multiple parties desire to collaborate to conduct data mining without breaching privacy of each contributing party. Organizations, both public and private, publish sensitive micro data for research and/or trend analysis. The main confront for developing a secured framework is a consideration for privacy as well as efficiency and complications amongst the collaborating parties for generating standardization. The paper surveys various techniques applied for Privacy Preserving Collaborative Data Mining and summarizes the demerits of the same.
Keywords :
Collaboration; Cryptography; Data privacy; Perturbation methods; Privacy; Protocols; Secure multiparty computation; collaborating parties; commodity server; cryptography; data perturbation; privacy preserving data mining; security;
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
DOI :
10.1109/EESCO.2015.7254044