Ankur Chowdhary, Dijiang Huang, Gail-Joon Ahn, Myong H. Kang, Anya Kim, Alexander Velazquez
{"title":"SDNSOC: Object Oriented SDN Framework","authors":"Ankur Chowdhary, Dijiang Huang, Gail-Joon Ahn, Myong H. Kang, Anya Kim, Alexander Velazquez","doi":"10.1145/3309194.3309196","DOIUrl":null,"url":null,"abstract":"The cloud networks managed by SDN can have multi-tier policy and rule conflicts. The application plane can have conflicting user-defined policies, and the infrastructure layer can have OpenFlow rules conflicting with each other. There is no scalable, and, automated programming framework to detect and resolve multi-tier conflicts in SDN-based cloud networks. We present an object-oriented programming framework - SDN Security Operation Center (SDNSOC), which handles policy composition at application plane, flow rule conflict detection and resolution at the control plane. We follow the design principles of object-oriented paradigm such as code-re-utilization, methods abstraction, aggregation for the implementation of SDNSOC on a multi-tenant cloud network. The key benefits obtained using this approach are (i) The network administrator is abstracted from complex-implementation details of SFC. The end-to-end policy composition of different network functions is handled by an object-oriented framework in an automated fashion. We achieve 37% lower latency in SFC composition compared to nearest competitors - SICS and PGA. (ii) Policy conflict detection between the existing traffic rules and incoming traffic is handled by SDNSOC in a scalable manner. The solution scales well on a large cloud network., and 18% faster security policy conflict detection on a cloud network with 100k OpenFlow rules compared to similar works - Brew, and Flowguard.","PeriodicalId":20513,"journal":{"name":"Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization","volume":"38 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3309194.3309196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The cloud networks managed by SDN can have multi-tier policy and rule conflicts. The application plane can have conflicting user-defined policies, and the infrastructure layer can have OpenFlow rules conflicting with each other. There is no scalable, and, automated programming framework to detect and resolve multi-tier conflicts in SDN-based cloud networks. We present an object-oriented programming framework - SDN Security Operation Center (SDNSOC), which handles policy composition at application plane, flow rule conflict detection and resolution at the control plane. We follow the design principles of object-oriented paradigm such as code-re-utilization, methods abstraction, aggregation for the implementation of SDNSOC on a multi-tenant cloud network. The key benefits obtained using this approach are (i) The network administrator is abstracted from complex-implementation details of SFC. The end-to-end policy composition of different network functions is handled by an object-oriented framework in an automated fashion. We achieve 37% lower latency in SFC composition compared to nearest competitors - SICS and PGA. (ii) Policy conflict detection between the existing traffic rules and incoming traffic is handled by SDNSOC in a scalable manner. The solution scales well on a large cloud network., and 18% faster security policy conflict detection on a cloud network with 100k OpenFlow rules compared to similar works - Brew, and Flowguard.