Document Type
Report
Publication Date
Winter 2020
Abstract
Why is it that Big Data services such as Netflix can predict, with reasonable accuracy, the movies and programs that I may be interested in when I connect to their service? When I access Amazon.com Online Shopping, I get a good glimpse of items I purchased in the past, and at what timeframe, and also a prediction if it is time to repurchase it? Machine Learning (ML) and Artificial Intelligence (AI) probably hold the key to the reasons these predictions are performed so well. So, why can’t we predict, at least at a small-scale level, when and what type of cybersecurity threats will hit our staff, organizations, or families? Is it possible to utilize the same strategies as Netflix and Amazon to protect us? The article will provide a background into the mechanics of Machine Learning and how with more significant experience these new modes of analysis can better be implemented and utilized to predict cybersecurity threats and crimes.
First Page Number
1
Last Page Number
10
Recommended Citation
Souidi, Samir and Mierzwa, Stanley, "Greater Cybersecurity Threat Predictions with a Primer in Machine Learning" (2020). Center for Cybersecurity. 18.
https://digitalcommons.kean.edu/cybersecurity/18