Cargando…
A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base
In view of various security requirements, there are various security services in the network. In particular, DDoS attacks have various types and detection methods. How to flexibly combine security services and make full use of the information provided by security services have become urgent problems...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692741/ https://www.ncbi.nlm.nih.gov/pubmed/36433613 http://dx.doi.org/10.3390/s22229021 |
_version_ | 1784837344498548736 |
---|---|
author | Guo, Qi Li, Man Wang, Weilin Liu, Ying |
author_facet | Guo, Qi Li, Man Wang, Weilin Liu, Ying |
author_sort | Guo, Qi |
collection | PubMed |
description | In view of various security requirements, there are various security services in the network. In particular, DDoS attacks have various types and detection methods. How to flexibly combine security services and make full use of the information provided by security services have become urgent problems to be solved. This paper combines the reasoning ability of the malicious behavior knowledge base to realize the dynamic deployment of the service function chain and dynamic configuration of the security service function. The method feeds back the information generated by the security service to the knowledge base. After the analysis of the knowledge base, the service function chain path and the security service configuration policies are generated, and these policies will be dynamically distributed to the security service function. Finally, security services can be dynamically arranged for different network traffic, realizing the coordinated use of various security services and improving the overall detection rate of the network. The experimental results show that by arranging the paths under the UDP and the TCP, the overall detection rate of the network can reach 99% and 88%, respectively, indicating that it has a good overall detection performance for multiple distributed denial of service (DDoS) attacks. |
format | Online Article Text |
id | pubmed-9692741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96927412022-11-26 A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base Guo, Qi Li, Man Wang, Weilin Liu, Ying Sensors (Basel) Article In view of various security requirements, there are various security services in the network. In particular, DDoS attacks have various types and detection methods. How to flexibly combine security services and make full use of the information provided by security services have become urgent problems to be solved. This paper combines the reasoning ability of the malicious behavior knowledge base to realize the dynamic deployment of the service function chain and dynamic configuration of the security service function. The method feeds back the information generated by the security service to the knowledge base. After the analysis of the knowledge base, the service function chain path and the security service configuration policies are generated, and these policies will be dynamically distributed to the security service function. Finally, security services can be dynamically arranged for different network traffic, realizing the coordinated use of various security services and improving the overall detection rate of the network. The experimental results show that by arranging the paths under the UDP and the TCP, the overall detection rate of the network can reach 99% and 88%, respectively, indicating that it has a good overall detection performance for multiple distributed denial of service (DDoS) attacks. MDPI 2022-11-21 /pmc/articles/PMC9692741/ /pubmed/36433613 http://dx.doi.org/10.3390/s22229021 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Guo, Qi Li, Man Wang, Weilin Liu, Ying A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title | A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title_full | A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title_fullStr | A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title_full_unstemmed | A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title_short | A Dynamic Deployment Method of Security Services Based on Malicious Behavior Knowledge Base |
title_sort | dynamic deployment method of security services based on malicious behavior knowledge base |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692741/ https://www.ncbi.nlm.nih.gov/pubmed/36433613 http://dx.doi.org/10.3390/s22229021 |
work_keys_str_mv | AT guoqi adynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT liman adynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT wangweilin adynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT liuying adynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT guoqi dynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT liman dynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT wangweilin dynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase AT liuying dynamicdeploymentmethodofsecurityservicesbasedonmaliciousbehaviorknowledgebase |