Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy-Reference-Cited by-同舟云学术

Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy

Published:2021-12-15 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Big Data (Big Data)
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Author:

Mokry Laylon,Slife Paul,Bishop Patrick,Quiroz Jose,Guzzi Cooper,Chen Zhiyuan,Crainiceanu Adina,Needham Don

Funder

Office of Naval Research

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9671263/9671273/09671428.pdf?arnumber=9671428

Reference22 articles.

1. Federated Machine Learning

2. Secure Multiparty Computation and Secret Sharing

3. Distributed privacy preserving k-means clustering with additive secret sharing

4. Privacy-preserving approach for sharing and processing intrusion alert data;do;2015 IEEE Tenth International Conference on Intelligent Sensors Sensor Networks and Information Processing (ISSNIP),2015

5. Differential privacy;dwork;International Colloquium on Automata Languages and Programming,2006

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