A Self-protecting Approach for Service-oriented Mobile Applications
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Data
2021-01-01
Autores
Martins, Ronaldo Rodrigues [UNESP]
de Oliveira Camargo, Marcos Paulo [UNESP]
Passini, William Filisbino [UNESP]
Campos, Gabriel Nagassaki [UNESP]
Affonso, Frank José [UNESP]
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Resumo
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.
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Mobile Applications, Security, Self-protecting, Web Service
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International Conference on Enterprise Information Systems, ICEIS - Proceedings, v. 2, p. 313-320.