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Therefore, we developed a framework including probability module, plausibility module, trust measurement module, and decision making module.
In the proposed framework, to evaluate trustworthiness of messages/data, four main modules are considered: probability of event occurrence module, misbehavior detection module, trust measurement module, and decision making module.
Figure 1 shows the overall structure of the proposed user authentication system, which is composed of three parts: face representation module, gesture representation module, and decision module.
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The modules are card initialization module (CINM), idle module (IM), card read module (CRM), card write module (CWM), and decision module (DM).
They are card initialization module (CINM), idle module (IM), card read module (CRM), card write module (CWM), and decision module (DM).
A typical biometric system has a sensor module, feature extraction module, matcher, and decision module.
External modules and decision support tools in the Extensions layer then use APIs to adjust the system to produce suitable simulation models for specific purposes.
Although detailed description of the representation modules and decision module is given in Sections 3 and 4, respectively, we would like to note a main characteristic of the proposed system.
The pre-decision module and the decision module are responsible for deciding what actions to take based on all available incoming information.
This hybrid Intrusion Detection System architecture consists of an anomaly detection module, a misuse detection module and a decision support system combining the results of these two detection modules.
This layer constitutes the following modules: database management module, image processing module, and routing decision module.
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