Design a quantitative instrument that could potentially answer your topic/research question (mentioned below) if it were to be applied to a quantitative study. Keep in mind, this may take some stretching if you wrote your question leaning quantitatively. The purpose here is not to box you in but to ensure that you have a solid understanding of both methodologies. Finally, view the rubric and examples to make sure you understand the expectations of this assignment.
Directions:
You will develop a word document to include:
- Your research question in the form of a quantitative question (if it was not already).
- An instrument or protocol (survey, questionnaire, archival data, etc.) that could be used to answer the quantitative version of your research question.
*Special note for those using archival data, you will describe the process of data retrieval for your archival data. See examples to help.
A one paragraph description/justification of how your chosen instrument/protocol is the best choice for answering the quantitative version of your research question
Research question:
I would like to research on how machine learning and AI
could automate the processes easily and faster than the current process. How
anomaly detection software can detect the origins of cyber assaults and the
kind of attacks they are. To begin my investigation into machine learning-based
cybersecurity applications for the healthcare industry, I would like to look at
how anomaly detection, rather than traditional fraud approaches, may be used to
identify assaults on cybersecurity systems. To create a machine learning model
to identify cybersecurity risks, it must be deployed on the client healthcare
company’s network and given permission to monitor network activities in real
time.
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