A Self-protecting Approach for Service-oriented Mobile Applications

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dc.contributor.authorMartins, Ronaldo Rodrigues [UNESP]
dc.contributor.authorde Oliveira Camargo, Marcos Paulo [UNESP]
dc.contributor.authorPassini, William Filisbino [UNESP]
dc.contributor.authorCampos, Gabriel Nagassaki [UNESP]
dc.contributor.authorAffonso, Frank José [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2023-07-29T14:03:49Z
dc.date.available2023-07-29T14:03:49Z
dc.date.issued2021-01-01
dc.description.abstractThe evolution of software systems in the last 10 years has brought new challenges for the development area, especially for service-oriented Mobile Applications (MobApps). In the mobile computing domain, the integration of MobApps into service-based systems has been a feasible alternative to boost the capacity of processing and storage of such applications. In parallel, this type of application needs monitoring approaches mainly due to the need of dealing with a large number of users, continuous changes in the execution environment, and security threats. Besides that, most MobApps do not present the self-protecting property by default, resulting in a number of adverse situations, such as integrity of execution, reliability, security, and adaptations at runtime. The principal contribution of this paper is an approach based on MAPE-K (Monitor-Analyze-Plan-Execute over Knowledge) loop and machine learning techniques to ensure self-protecting features in MobApps, in particular, those based on services. Experimental results showed that this approach can autonomously and dynamically mitigate threats, making these applications more trustworthy and intrusion-safe. Our approach has good potential to contribute to the development of MobApps, going beyond existing approaches.en
dc.description.affiliationDepartment of Statistics Applied Mathematics and Computation São Paulo State University - UNESP, PO Box 178, São Paulo
dc.description.affiliationUnespDepartment of Statistics Applied Mathematics and Computation São Paulo State University - UNESP, PO Box 178, São Paulo
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2019/21510-3
dc.format.extent313-320
dc.identifier.citationInternational Conference on Enterprise Information Systems, ICEIS - Proceedings, v. 2, p. 313-320.
dc.identifier.issn2184-4992
dc.identifier.scopus2-s2.0-85137946612
dc.identifier.urihttp://hdl.handle.net/11449/249150
dc.language.isoeng
dc.relation.ispartofInternational Conference on Enterprise Information Systems, ICEIS - Proceedings
dc.sourceScopus
dc.subjectMobile Applications
dc.subjectSecurity
dc.subjectSelf-protecting
dc.subjectWeb Service
dc.titleA Self-protecting Approach for Service-oriented Mobile Applicationsen
dc.typeTrabalho apresentado em evento
unesp.author.orcid0000-0002-5784-6248[5]

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Artigos - Estatistica, Matemática Aplicada e Computação - IGCE