SDN self-protection system based on Renyi entropy

Aiming at the abnormal behaviors in SDN architecture, a self-protection system based on Renyi entropy that implemented a set of detection, diagnosis and defense method of SDN abnormal behaviors was proposed.The system did not need to introduce the third-party measurement equipment, and directly used...

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Main Authors: Pu ZHAO, Wentao ZHAO, Zhangjie FU, Qiang LIU
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2021-06-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021049
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author Pu ZHAO
Wentao ZHAO
Zhangjie FU
Qiang LIU
author_facet Pu ZHAO
Wentao ZHAO
Zhangjie FU
Qiang LIU
author_sort Pu ZHAO
collection DOAJ
description Aiming at the abnormal behaviors in SDN architecture, a self-protection system based on Renyi entropy that implemented a set of detection, diagnosis and defense method of SDN abnormal behaviors was proposed.The system did not need to introduce the third-party measurement equipment, and directly used the flow table information of OpenFlow switches.Firstly, the abnormal network behavior was detected by calculating the characteristic entropy.Then, the information of the OpenFlow flow table was further analyzed to realize the diagnosis of abnormal behavior.Finally, a blacklist mechanism was established.And the system added the hosts with abnormal behavior to the blacklist and blocked the corresponding abnormal traffic.In order to verify the effectiveness of the system, a prototype was developed on the Floodlight controller.The simulation results on Mininet show that the system can effectively detect, diagnose and defend the abnormal behaviors.The system has low deployment cost, which enhances the security of SDN.
format Article
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institution Kabale University
issn 2096-109X
language English
publishDate 2021-06-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-0793413f16e246ae90306e911d7d5a382025-01-15T03:14:48ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2021-06-017859459563713SDN self-protection system based on Renyi entropyPu ZHAOWentao ZHAOZhangjie FUQiang LIUAiming at the abnormal behaviors in SDN architecture, a self-protection system based on Renyi entropy that implemented a set of detection, diagnosis and defense method of SDN abnormal behaviors was proposed.The system did not need to introduce the third-party measurement equipment, and directly used the flow table information of OpenFlow switches.Firstly, the abnormal network behavior was detected by calculating the characteristic entropy.Then, the information of the OpenFlow flow table was further analyzed to realize the diagnosis of abnormal behavior.Finally, a blacklist mechanism was established.And the system added the hosts with abnormal behavior to the blacklist and blocked the corresponding abnormal traffic.In order to verify the effectiveness of the system, a prototype was developed on the Floodlight controller.The simulation results on Mininet show that the system can effectively detect, diagnose and defend the abnormal behaviors.The system has low deployment cost, which enhances the security of SDN.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021049software defined networkanomaly detectionRenyi entropyOpenFlow protocol
spellingShingle Pu ZHAO
Wentao ZHAO
Zhangjie FU
Qiang LIU
SDN self-protection system based on Renyi entropy
网络与信息安全学报
software defined network
anomaly detection
Renyi entropy
OpenFlow protocol
title SDN self-protection system based on Renyi entropy
title_full SDN self-protection system based on Renyi entropy
title_fullStr SDN self-protection system based on Renyi entropy
title_full_unstemmed SDN self-protection system based on Renyi entropy
title_short SDN self-protection system based on Renyi entropy
title_sort sdn self protection system based on renyi entropy
topic software defined network
anomaly detection
Renyi entropy
OpenFlow protocol
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2021049
work_keys_str_mv AT puzhao sdnselfprotectionsystembasedonrenyientropy
AT wentaozhao sdnselfprotectionsystembasedonrenyientropy
AT zhangjiefu sdnselfprotectionsystembasedonrenyientropy
AT qiangliu sdnselfprotectionsystembasedonrenyientropy