An Interactive Traffic Replay Method in a Scaled-Down Environment
Network traffic replay plays an essential role in network security tests. However, performing traffic replay in a network is still a challenge due to the different scales of the live network and the replay network. In this study, we investigate three problems of the interactive traffic replay under...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8866712/ |
| _version_ | 1819276156255338496 |
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| author | Hongri Liu Lun An Jiawei Ren Bailing Wang |
| author_facet | Hongri Liu Lun An Jiawei Ren Bailing Wang |
| author_sort | Hongri Liu |
| collection | DOAJ |
| description | Network traffic replay plays an essential role in network security tests. However, performing traffic replay in a network is still a challenge due to the different scales of the live network and the replay network. In this study, we investigate three problems of the interactive traffic replay under a scaled-down replay environment and then propose a multi-node traffic replay method. In this method, a self-elected IP mapping algorithm is designed to construct the IP mapping between the target network and the live network, which reproduce the interaction between the nodes of the live network. We prove that the traffic aggregation problem is an NP-complete problem and design a divide and conquer algorithm to approximate an optimal solution. On this basis, a traffic replay algorithm based on minimum-delay forwarding mechanism is proposed to perform low-delay interactive traffic replay. The experimental results show that the method mentioned above enables us to better aggregate elephant flows and achieve high similarity in replay timing series and bandwidth, which can be employed to reproduce a real network scenario in network device tests and network security experiments. |
| first_indexed | 2024-12-23T23:35:44Z |
| format | Article |
| id | doaj.art-abb0765214f04e14b8c5b390ac67534a |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-23T23:35:44Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-abb0765214f04e14b8c5b390ac67534a2022-12-21T17:25:52ZengIEEEIEEE Access2169-35362019-01-01714937314938610.1109/ACCESS.2019.29470628866712An Interactive Traffic Replay Method in a Scaled-Down EnvironmentHongri Liu0https://orcid.org/0000-0003-4780-6426Lun An1Jiawei Ren2Bailing Wang3College of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, ChinaSchool of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, ChinaSchool of Computer Science and Engineering, University of New South Wales, Sydney, NSW, AustraliaCollege of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai, ChinaNetwork traffic replay plays an essential role in network security tests. However, performing traffic replay in a network is still a challenge due to the different scales of the live network and the replay network. In this study, we investigate three problems of the interactive traffic replay under a scaled-down replay environment and then propose a multi-node traffic replay method. In this method, a self-elected IP mapping algorithm is designed to construct the IP mapping between the target network and the live network, which reproduce the interaction between the nodes of the live network. We prove that the traffic aggregation problem is an NP-complete problem and design a divide and conquer algorithm to approximate an optimal solution. On this basis, a traffic replay algorithm based on minimum-delay forwarding mechanism is proposed to perform low-delay interactive traffic replay. The experimental results show that the method mentioned above enables us to better aggregate elephant flows and achieve high similarity in replay timing series and bandwidth, which can be employed to reproduce a real network scenario in network device tests and network security experiments.https://ieeexplore.ieee.org/document/8866712/Traffic replayIP mappingself-elected strategytraffic aggregation |
| spellingShingle | Hongri Liu Lun An Jiawei Ren Bailing Wang An Interactive Traffic Replay Method in a Scaled-Down Environment IEEE Access Traffic replay IP mapping self-elected strategy traffic aggregation |
| title | An Interactive Traffic Replay Method in a Scaled-Down Environment |
| title_full | An Interactive Traffic Replay Method in a Scaled-Down Environment |
| title_fullStr | An Interactive Traffic Replay Method in a Scaled-Down Environment |
| title_full_unstemmed | An Interactive Traffic Replay Method in a Scaled-Down Environment |
| title_short | An Interactive Traffic Replay Method in a Scaled-Down Environment |
| title_sort | interactive traffic replay method in a scaled down environment |
| topic | Traffic replay IP mapping self-elected strategy traffic aggregation |
| url | https://ieeexplore.ieee.org/document/8866712/ |
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