Friday, May 3, 2019

Taxonomy on existing techniques of reducing false alarms in Annotated Bibliography

Taxonomy on existing techniques of reducing false alarms in sensor-based healthcare monitoring strategys - Annotated Bibliography ExampleAccording to Qassim, Patel and Modzhin (2014), fuzzy system of logic peril analysis is implemented to reduce false alarm instances and maintain sufficient level of warrantor against serious attacks in intrusion and detection systems. The primary purpose of an intrusion and detection system is to advert attackers trying to infiltrate a network and expose vulnerable resources. By using a misty Logic-Risk Analysis (FLRA) model, the Qassim et al. (2014) aimed to reduce instances of false positives. By calculating the significance and severity of each suspected attack, the system establishes whether an activity can be classified as attempted attack or normal demeanor miss judged by the detection system. The model comprises four layers integrated interface, knowledge manager, autonomic manager, and resource manager. The topmost layer represents the integration point of the system administrator and the intrusion detection system. At this level, strategies and policies are outlined and implemented. The section responsible for false positive reduction is the Intrusion Detection Manager. This second layer referred as the fogged Logic-Risk Analysis Intrusion Detection Manager is responsible comprises of four modules monitor module, analyzer, planner module and control module. All the modules act systematically to detect any attempts of intrusion, eliminate false positives and perform necessity changes to the protected element. Fuzzy Logic-Risk Analysis model works in two mechanisms identifying the risk and assessing the risk. Once the risk has been identified it is assessed using weighted averages and consequently categorized. Threats are categorized based on their ability to develop harm to asset elements. Once the risk has been identified, residual and exposed risks are analyzed using Fuzzy logic from which different counterm easures are applied to mitigate it. FLRA model works by taking the

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