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author:

Chen, X. (Chen, X..) [1] | Liu, H. (Liu, H..) [2] | Huang, Q. (Huang, Q..) [3] | Zhang, D. (Zhang, D..) [4] | Zhou, H. (Zhou, H..) [5] | Wu, C. (Wu, C..) [6] | Liu, X. (Liu, X..) [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, 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, offers intent-based primitives to enable academic researchers to customize testing tasks on demand. Moreover, in view of switch resource limitations, 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 on a  $64\times 100$  Gbps Tofino switch. Our experiments on a  $64\times 100$  Gbps Tofino switch show that achieves orders-of-magnitude higher scalability and lower cost than existing tools. IEEE

Keyword:

and programmable switches Computer crime Costs DDoS evaluation Scalability Servers Switches Task analysis Testing

Community:

  • [ 1 ] [Chen X.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 2 ] [Liu H.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 3 ] [Huang Q.]Department of Computer Science and Technology, Peking University, Beijing, China
  • [ 4 ] [Zhang D.]College of Computer Science and Big Data, Fuzhou University, Fuzhou, China
  • [ 5 ] [Zhou H.]College of Control Science and Engineering, Zhejiang University, Hangzhou, China
  • [ 6 ] [Wu C.]College of Computer Science and Technology, Zhejiang University, Hangzhou, China
  • [ 7 ] [Liu X.]College of Information Engineering (College of Artificial Intelligence), Yangzhou University, Yangzhou, China

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Source :

ACM Transactions on Networking

ISSN: 1063-6692

Year: 2023

Issue: 1

Volume: 32

Page: 1-16

3 . 0

JCR@2023

3 . 0 0 0

JCR@2023

ESI HC Threshold:32

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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