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author:

Chen, Xiang (Chen, Xiang.) [1] | Liu, Hongyan (Liu, Hongyan.) [2] | Huang, Qun (Huang, Qun.) [3] | Zhang, Dong (Zhang, Dong.) [4] | Zhou, Haifeng (Zhou, Haifeng.) [5] | Wu, Chunming (Wu, Chunming.) [6] | Liu, Xuan (Liu, Xuan.) [7]

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Abstract:

To date, security researchers evaluate their solutions of mitigating distributed denial-of-service (DDoS) attacks via kernel-based or kernel-bypassing testing tools. However, kernel-based tools exhibit poor scalability in attack traffic generation while kernel-bypassing tools incur unacceptable monetary cost. We propose Excalibur, a scalable and low-cost testing framework for evaluating DDoS defense solutions. The key idea is to leverage the emerging programmable switch to empower testing tasks with Tbps-level scalability and low cost. Specifically, Excalibur offers intent-based primitives to enable academic researchers to customize testing tasks on demand. Moreover, in view of switch resource limitations, Excalibur coordinates both a server and a programmable switch to jointly perform testing tasks. It realizes flexible attack traffic generation, which requires a large number of resources, in the server while using the switch to increase the sending rate of attack traffic to Tbps-level. We have implemented Excalibur on a 64× 100 Gbps Tofino switch. Our experiments on a 64× 100 Gbps Tofino switch show that Excalibur achieves orders-of-magnitude higher scalability and lower cost than existing tools. © 1993-2012 IEEE.

Keyword:

Cost benefit analysis Denial-of-service attack Job analysis Network security Scalability

Community:

  • [ 1 ] [Chen, Xiang]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 2 ] [Liu, Hongyan]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 3 ] [Huang, Qun]Peking University, Department of Computer Science and Technology, Beijing; 100871, China
  • [ 4 ] [Zhang, Dong]Fuzhou University, College of Computer Science and Big Data, Fuzhou; 350025, China
  • [ 5 ] [Zhou, Haifeng]Zhejiang University, College of Control Science and Engineering, Hangzhou; 310027, China
  • [ 6 ] [Wu, Chunming]Zhejiang University, College of Computer Science and Technology, Hangzhou; 310027, China
  • [ 7 ] [Liu, Xuan]Yangzhou University, College of Information Engineering (College of Artificial Intelligence), Yangzhou; 225012, China
  • [ 8 ] [Liu, Xuan]Southeast University, School of Computer Science and Engineering, Nanjing; 211189, China

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Source :

ACM Transactions on Networking

ISSN: 1063-6692

Year: 2024

Issue: 1

Volume: 32

Page: 191-206

3 . 0 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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