A Self-protecting Approach for Service-oriented Mobile Applications

• Autor(a) principal: Martins, Ronaldo Rodrigues [UNESP]
• Data de Publicação: 2021
• Outros Autores: Camargo, Marcos Paulo de Oliveira [UNESP], Passini, William Filisbino [UNESP], Campos, Gabriel Nagassaki [UNESP], Affonso, Frank Jose [UNESP], Filipe, J., Smialek, M., Brodsky, A., Hammoudi, S.
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.5220/0010448603130320; http://hdl.handle.net/11449/237713
• topic: Self-protecting; Mobile Applications; Web Service; Security

The 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.