Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system-Reference-Cited by-同舟云学术

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Hypergraph clustering model-based association analysis of DDOS attacks in fog computing intrusion detection system

Published:2018-10-22 Issue:1 Volume:2018 Page:
ISSN:1687-1499
Container-title:EURASIP Journal on Wireless Communications and Networking
language:en
Short-container-title:J Wireless Com Network

Author:

An Xingshuo,Su Jingtao,Lü Xing,Lin Fuhong^ORCID

Funder

National Key R&D Program of China

Foundation of Science and Technology on Information Assurance Laboratory

Foundation of Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Computer Science Applications,Signal Processing

Link

http://link.springer.com/content/pdf/10.1186/s13638-018-1267-2.pdf

Reference21 articles.

1. Bonomi, F, et al. Fog computing and its role in the internet of things. Proceedings of the first edition of the MCC workshop on Mobile cloud computing. ACM (2012)

2. W. Shi et al., Edge computing: Vision and challenges. IEEE Internet of Things Journal 3(5), 637–646 (2016)

3. S. Jingtao et al., Steiner tree based optimal resource caching scheme in fog computing. China Communications 12(8), 161–168 (2015)

4. A. Alrawais et al., Fog computing for the internet of things: security and privacy issues. IEEE Internet Computing 21(2), 34–42 (2017)

5. Y. Huo, C. Yong, Y. Lu, Re-ADP: real-time data aggregation with adaptive w-event differential privacy for fog computing. Wireless Communications and Mobile Computing, 1–13 (2018)

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