ARGOS will allow end-users the possibility to deploy the solution beyond the actual perimeter of the CI, extending the “security zone” beyond the critical perimeter and defining an early warning area that will provide the Critical Infrastructures with the capabilities to enhance their capacity of monitor, deter and respond to a potential threat. The inputs of this non-intrusive multimodal network of sensors will all be simultaneously evaluated and cross-checked in order to minimize false alarms, using data mining to account for correlations and interdependencies. Also the system will implement a “guided learning” methodology letting the operator teach the engine that an alarm is true or false, so it will “learn” this information and improve progressively its performance and the rate of false alarms.
Main objectives of the campaign and project are here for the discussion and for all enclosed. The process is done for the dissertation writing services success of the program with the calmness of the things and for reformed nature.
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