Abstract
This essay serves as a proposal for new technology and mitigation against the scamming of marginalized individuals (i.e., those over the age of 65). Research supports this outline, giving background to the types of scams, and prevention strategies currently seen in the cybersecurity landscape. It is evident that the methods we currently use to combat scamming attacks are not effective, therefore, I propose a new solution. This proposed telecommunications strategy is necessary to prevent scamming of all internet users, no matter the device. This telecommunication strategy would use artificial intelligence and machine learning to constantly improve its detection over time, nullifying the scamming issue that plagues senior citizens.
Keywords: Artificial Intelligence, Machine Learning, Telecommunication Leverage, Senior Adults, Educational Mitigation, Technological Mitigation, Scam-Prevention, Scamming
Faculty Advisor/Mentor
Charlie Kirkpatrick
Document Type
Paper
Disciplines
E-Commerce | Online and Distance Education | Social Psychology and Interaction
DOI
10.25776/k4b4-xx28
Publication Date
4-14-2023
Upload File
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Powerpoint Presentation
Included in
E-Commerce Commons, Online and Distance Education Commons, Social Psychology and Interaction Commons
Applicable Mitigation Strategies and Technology Propositions: Preventing Scamming in Marginalized Populations
This essay serves as a proposal for new technology and mitigation against the scamming of marginalized individuals (i.e., those over the age of 65). Research supports this outline, giving background to the types of scams, and prevention strategies currently seen in the cybersecurity landscape. It is evident that the methods we currently use to combat scamming attacks are not effective, therefore, I propose a new solution. This proposed telecommunications strategy is necessary to prevent scamming of all internet users, no matter the device. This telecommunication strategy would use artificial intelligence and machine learning to constantly improve its detection over time, nullifying the scamming issue that plagues senior citizens.
Keywords: Artificial Intelligence, Machine Learning, Telecommunication Leverage, Senior Adults, Educational Mitigation, Technological Mitigation, Scam-Prevention, Scamming