Conviction model for incident reaction architecture monitoring based on automatic sensors alert detection

Dynamic distributed wireless networks constitute a critical pillar for the information system. Nonetheless, the openness of these networks makes them very sensitive to external attack such as the DoS. Being able to monitor the conviction level of network components and to react in a short time once an incident is detected is a crucial challenge for their survival. In order to face those problems, research tends to evolve towards more dynamic solutions that are able to detect and validate network anomalies and to adapt themselves in order to retrieve a secure configuration. In this position paper, we complete our previous works and make the assignment of functions to agents more contextual. Our approach considers the concept of agent responsibility that we assigned dynamically to agent and that we exploit in order to analyze the level of "conviction" in the component. In this current paper, we provide an insight of the architecture without depicting the assignment mechanism neither the conviction calculation.