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Anomaly diagnosis based on regression and classification analysis of statistical traffic features

  • Published:2013-09-30 Issue:9 Volume:7 Page:1372-1383
  • ISSN:1939-0114
  • Container-title:Security and Communication Networks
  • language:en
  • Short-container-title:Security Comm. Networks

Author:

Liu Lei1,Jin Xiaolong2,Min Geyong3,Xu Li4

Affiliation:

1. Department of Computer Science; Shandong University; Jinan China

2. Institute of Computing Technology; Chinese Academy of Science; Beijing China

3. Department of Computing; University of Bradford; Bradford UK

4. College of Mathematics and Computer Science; Fujian Normal University; Fuzhou China

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference25 articles.

1. Vulnerability of network mechanisms to sophisticated DDoS attacks;Ben-Porat;IEEE Transactions on Computers,2013

2. Mitigating distributed denial of service attacks in multiparty applications in the presence of clock drifts;Zhang;IEEE Transactions on Dependable and Secure Computing,2012

3. A taxonomy of DDoS attack and DDoS defense mechanisms;fMirkovic;ACM SIGCOMM Computer Communication,2004

4. Chaos theory based detection against network mimicking DDoS attacks;Chonka;IEEE Communications Letters,2009

5. Denial-of-service attacks rip the Internet;Garber;IEEE Computer,2000

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network anomaly detection using a cross‐correlation‐based long‐range dependence analysis;International Journal of Network Management;2020-07-30

2. A Lightweight DDoS Attack Mitigation System within the ISP Domain Utilising Self-organizing Map;Proceedings of the Future Technologies Conference (FTC) 2018;2018-10-20
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