Edmund
Author:
Affiliation:
1. Department of Automation, Tsinghua University, Beijing, China
2. Research Institute of Information Technology, Tsinghua University, Beijing, China
Publisher
ACM Press
Reference22 articles.
1. Akamai. 2017. Akamai's Quarterly Reports on State of the Internet Security. (2017). https://www.akamai.com/us/en/our-thinking/state-of-theinternet-report/global-state-of-the-internet-security-ddosattack-reports.jsp
2. A. Bakshi and Y. B. Dujodwala. 2010. Securing cloud from DDoS attacks using intrusion detection system in virtual machine. In Communication Software and Networks, 2010. ICCSN'10. Second International Conference on. IEEE, 260--264.
3. CTU. 2011. CTU-13 Botnet Traffic dataset. (2011). https://mcfp.weebly.com/the-ctu-13-dataset-a-labeleddataset-with-botnet-normal-and-background-traffic.html
4. J. David and C. Thomas. 2015. DDoS attack detection using fast entropy approach on flow-based network traffic. Procedia Computer Science 50 (2015), 30--36.
5. C. Douligeris and A. Mitrokotsa. 2004. DDoS attacks and defense mechanisms: classification and state-of-the-art. Computer Networks 44, 5 (2004), 643--666.
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