ATTACK DETECTION PRIVACY PRESERVING FROM DATA DISTRIBUTED NETWORK

Abstract

The problem of detection privacy attack privacy preserving is becoming increasingly important. Many cases to detect attacks need to combine networks, while maintaining the privacy of each data set. The paper studies and proposes a method detecting attacks with ensure the privacy-based mining association rules. To build a solution, the paper proposes an improved security total protocol to improve the efficiency of association rule mining to ensure privacy on horizontal distributed data sets..