Smart and Lightweight DDoS Detection Using NFV-Reference-Cited by-同舟云学术

Smart and Lightweight DDoS Detection Using NFV

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Compute and Data Analysis - ICCDA '17
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Author:

Alharbi Talal¹,Aljuhani Ahamed²,Liu Hang³,Hu Chunqiang³

Affiliation:

1. The Catholic University of America United States, University of Jeddah, Saudi Arabia

2. The Catholic University of America United States, University of Tabuk, Saudi Arabia

3. The Catholic University of America United States

Publisher

ACM Press

Reference16 articles.

1. Thapngam, T., Yu, S., Zhou, W., and Beliakov, G. 2011. Discriminating DDoS attack traffic from flash crowd through packet arrival patterns. 2011 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2011). DOI:http://dx.doi.org/10.1109/infcomw.2011.5928950

2. Zargar, S. T., Joshi, J., and Tipper, D. 2013. A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks. IEEE Communications Surveys & Tutorials 15, 4 (2013), 2046--2069.

3. Buragohain, C., Jyoti, M., Singh, S., and Dhruba K. 2015. Anomaly based DDoS Attack Detection. International Journal of Computer Applications 123, 17 (August 2015), 35--40. DOI:http://dx.doi.org/10.5120/ijca2015905786

4. Woolf, N. 2016. DDoS attack that disrupted internet was largest of its kind in history, experts say. (October 2016). Retrieved February 21, 2017 from https://www.theguardian.com/technology/2016/oct/26/ddos-attack-dyn-mirai-botnet

5. Schwartz, M. J. DDoS Attacks Also Slammed Singapore ISP's DNS Services. Retrieved February 13, 2017 from http://www.inforisktoday.com/ddos-attacks-also-slammed-singapore-isps-dns-services-a-9487

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