Email this article ATTACK DETECTION PRIVACY PRESERVING FROM DATA DISTRIBUTED NETWORK
About this article
Received: 08/05/19 Published: 08/05/19Authors
1. Nguyen Van Chung
, Vinh Phuc Technology-Economic College2. Nguyen Van Tao, University of Information and Communication Technology, - TNU
3. Tran Duc Su, Ban cơ yếu Chính Phủ
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..
Keywords
Frequent itemsets, association rule, privacy, attack detection, Secure Sum
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