Machine learning – cybersecurity versus other domains
ML today is applied to a wide variety of domains, some of which are detailed in the following list:
- In sales and marketing, to identify the segment of customers likely to buy a particular product
- In online advertising, for click prediction and to display ads accordingly
- In climate and weather forecasting, to predict trends based on centuries of data
- In recommendation systems, to find the best items (movies, songs, posts, and people) relevant to a user
While every sector imaginable applies ML today, the nuances of it being applied to cybersecurity are different from other fields. In the following subsections, we will see some of the reasons why it is much more challenging to apply ML to the cybersecurity domain than to other domains such as sales or advertising.
High stakes
Security problems often involve making crucial decisions that can impact money, resources, and even life. A fraud detection...