Conformity and its consequence Essay Example | Topics and Well Written Essays - 500 words

Conformity and its consequence - Essay Example In other words, the practice of conformity may be found at individual level and at group level. At times, it may so happen that the exposure to some extraordinary things may attract the individuals to believe or practice the same, but for fear from the society regarding non conformity with the general belief, the individuals prefer to avoid the new practice. The people may just follow the conformity and they become more selfish while treating others in some of the occasions. For example, in case of very old man who came to the house of Pelayo and Elisenda, the couple initially tried to find the actual truth about his whereabouts and nature of life. Once they got a clue that the old man might be an angel, they tried to get the advantage of the presence of old man in their home. They started collecting entry fee for visiting the old man and in this process they became rich, but unfortunately they neglected the old man. Though the father Gonzaga expressed doubts about the characteristic s of the angel due to lack of mortal characters in old man and lack of ability to speak in Latin language, the major sections of common people in the society started believing that the old man might be an angel.

Taxonomy on existing techniques of reducing false alarms in Annotated Bibliography

Taxonomy on existing techniques of reducing false alarms in sensor-based healthcare monitoring systems - Annotated Bibliography Example According to Qassim, Patel and Modzhin (2014), fuzzy logic risk analysis is implemented to reduce false alarm instances and maintain sufficient level of security against serious attacks in intrusion and detection systems. The primary purpose of an intrusion and detection system is to identify attackers trying to infiltrate a network and expose vulnerable resources. By using a Fuzzy 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 behavior 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 defined and implemented. Th e section responsible for false positive reduction is the Intrusion Detection Manager. This second layer referred as the Fuzzy 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 necessary 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 cause harm to asset elements. Once the risk has been identified, residual and exposed risks are analyzed using Fuzzy logic from which different countermeasures are applied to mitigate it. FLRA model works by taking the