Abstract
The paper presents an original multi-agent approach to security level evaluation in service oriented systems for telecommunication sector, especially for providers of communication and information services. The platform is built from the following elements: user interface which has been used to select and configure the mode of operation of the analytical algorithms implemented within the platform; inter-modules interfaces which are used to supply the algorithms with appropriate datasets and to provide the user the results of analysis; analytical services which are responsible for security level evaluation and finally data repositories. The platform provides the security evaluation functionality as a web service according to Security as a Service (SaaS) model. This way of providing security assumes that the analytical methods are implemented independently from the evaluated objects and can be provided to any requesting subject as web services. The paper presents the architecture of the platform and the provided functionalities. Finally, the example scenario of the security level evaluation has been demonstrated and discussed. The presented platform for security level evaluation is an integral part of the comprehensive solution called PlaTel which has been designed for management and execution of information and communication services.
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Keywords
- Business Process
- Application Programming Interface
- Service Composition
- Anomaly Detection
- Service Orient Architecture
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kołaczek, G. (2013). Multi-agent Platform for Security Level Evaluation of Information and Communication Services. In: Nguyen, N., Trawiński, B., Katarzyniak, R., Jo, GS. (eds) Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, vol 457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34300-1_10
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DOI: https://doi.org/10.1007/978-3-642-34300-1_10
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