Aspect-oriented models-based framework to secure intelligent systems

作者: Hessa Ali Alhamad , Mohammad Mahdi Hassan

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摘要: Security is a high-priority issue for any software system. Emerging intelligent systems have unique security challenges that need to be addressed. In this paper, we propose a novel aspect-oriented models-based security framework to address security concerns in intelligent systems. The aspects of this framework derive from identified threats to intelligent systems. We use Unified Modeling Language (UML) diagrams to present each aspect.

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