Jorge Da Silva, A. Braga, C. M. F. Rubira, R. Dahab
{"title":"An Approach for Adaptive Security of Cloud Applications within the ATMOSPHERE Platform","authors":"Jorge Da Silva, A. Braga, C. M. F. Rubira, R. Dahab","doi":"10.5753/sbseg.2019.13988","DOIUrl":null,"url":null,"abstract":"Self-protecting systems can reduce response time to known attacks by automating decision-making processes in security operations. This paper briefly describes the ATMOSPHERE platform for monitoring and enforcement of trustworthiness in cloud systems, as well as proposes a way to enhance its Trustworthiness Monitoring & Assessment framework (responsible for analyzing and planning adaptation actions) in order to instantiate the concept of adaptive security for self-protecting cloud infrastructures and applications. The paper approaches adaptive security based upon adaptive Web Application Firewalls, and enhances a software-based, feedback control loop (named MAPE-K) for monitoring and analysis of security events, as well as the planning and execution of adaptation actions for securing cloud applications. This is a work in progress, currently under development, to be integrated to ATMOSPHERE's framework.","PeriodicalId":221963,"journal":{"name":"Anais do XIX Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2019)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do XIX Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5753/sbseg.2019.13988","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Self-protecting systems can reduce response time to known attacks by automating decision-making processes in security operations. This paper briefly describes the ATMOSPHERE platform for monitoring and enforcement of trustworthiness in cloud systems, as well as proposes a way to enhance its Trustworthiness Monitoring & Assessment framework (responsible for analyzing and planning adaptation actions) in order to instantiate the concept of adaptive security for self-protecting cloud infrastructures and applications. The paper approaches adaptive security based upon adaptive Web Application Firewalls, and enhances a software-based, feedback control loop (named MAPE-K) for monitoring and analysis of security events, as well as the planning and execution of adaptation actions for securing cloud applications. This is a work in progress, currently under development, to be integrated to ATMOSPHERE's framework.