A fog-based privacy-preserving approach for distributed signature-based intrusion detection-Reference-Cited by-同舟云学术

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A fog-based privacy-preserving approach for distributed signature-based intrusion detection

Published:2018-12 Issue: Volume:122 Page:26-35
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Wang Yu^ORCID,Meng Weizhi^ORCID,Li Wenjuan,Li Jin,Liu Wai-Xi,Xiang Yang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province for Distinguished Young Scholars

Science and Technology Planning Project of Guangdong Province, China

Innovation Team Project of Guangdong Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference67 articles.

1. Privacy-preserving anomaly detection in cloud with lightweight homomorphic encryption;Alabdulatif;J. Comput. System Sci.,2017

2. T. Alharkan, P. Martin, IDSaaS: Intrusion detection system as a service in public clouds, in: Proceedings of the 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid, 2012, pp. 686–687.

3. Australia Cyber Threat Report 2017. https://www.acsc.gov.au/publications/ACSC_Threat_Report_2017.pdf.

4. F. Benali, N. Bennani, G. Gianini, S. Cimato, A distributed and privacy-preserving method for network intrusion detection, in: Proceedings of the 2010 International Conference on On the Move to Meaningful Internet systems, OTM, 2010, pp. 861–875.

5. F. Bonomi, R. Milito, J. Zhu, S. Addepalli, Fog computing and its role in the internet of things, in: Proceedings of the first edition of the MCC workshop on Mobile cloud computing, MCC, 2012, pp. 13–16.

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