IT273M5_Module_5_Assesment_Part1_B.docx Purdue Global As an information technology professional, we are facing with opposing perspectives on ethical issues in our daily work. I would like to use the example of biomet
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IT273M5_Module_5_Assesment_Part1_B.docx Purdue Global As an information technology professional, we are facing with opposing perspectives on ethical issues in our daily work. I would like to use the example of biometrics as is very common issue in the cybersecurity world. Biometric are used as authentication factor as something you are and is currently the most secure way of authentication. Government buildings, offices storing high classified information will often have biometrics authentication at the entrance. There are multiple types of Biometric systems, there is fingerprintsrecognition, which is the most common, face recognition, hand geometry recognition, iris recognition, retina recognition among a few others. When selecting a biometric authentication system for a company, multiple factors have to be taken into consideration, for example, in a place with high natural illumination the iris scan or retina might not be ideal we should use a fingerprints system or hand geometry of dace recognition. The more sophisticated the scanner the most it expensive will be to buy and maintain and not for being more expensive is necessary more accurate. A very important factor when buying this type of system will be the false positive rate FPR and the false negative rate FNR. A system with a high FPR or FNR is not recommended, what we need is, a system with an acceptable rate of both. In this example I will address the controversy behind the retina scan for authentication purposes. Even if the retina scan is one of . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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