{"title":"A Roadmap to Smart Homes Security Aided SDN and ML","authors":"Tanzeela Altaf, R. Braun","doi":"10.1109/ciot53061.2022.9766525","DOIUrl":null,"url":null,"abstract":"The smart home is one of those significant technology trends which enhances comfort and allows the integration of environment-friendly smart applications in daily life. It contains a large pool of internet-enabled devices some of which have a limited capability and operate in a specific manner. Due to heterogeneity and operational complexity, home networks pose extremely challenging vulnerabilities concerning privacy and security. This paper is a review of recent attempts to provide privacy and security in IoT smart homes. We summarize the research efforts in the past few years, discuss and classify them based on technologies deployed i.e. SDN, ML. We then propose an approach for the integration of SDN with ML in the home network for an automatic and reconfigurable network security mechanism. We emphasize that the proposed approach addresses the heterogeneity and scalability issues (by implementing SDN) as well as pave ways to prevent harmful attacks efficiently and in a timely manner.","PeriodicalId":180813,"journal":{"name":"2022 5th Conference on Cloud and Internet of Things (CIoT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th Conference on Cloud and Internet of Things (CIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ciot53061.2022.9766525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The smart home is one of those significant technology trends which enhances comfort and allows the integration of environment-friendly smart applications in daily life. It contains a large pool of internet-enabled devices some of which have a limited capability and operate in a specific manner. Due to heterogeneity and operational complexity, home networks pose extremely challenging vulnerabilities concerning privacy and security. This paper is a review of recent attempts to provide privacy and security in IoT smart homes. We summarize the research efforts in the past few years, discuss and classify them based on technologies deployed i.e. SDN, ML. We then propose an approach for the integration of SDN with ML in the home network for an automatic and reconfigurable network security mechanism. We emphasize that the proposed approach addresses the heterogeneity and scalability issues (by implementing SDN) as well as pave ways to prevent harmful attacks efficiently and in a timely manner.