Title: From Internet access devices usage to behavioural model

Abstract:

The way of using a mouse, keyboard, tablet, or phone can be a great source of the information about user behavior. Data can be gathered from a spectrum of sensors built into these devices. Then this data can be transferred into features that characterize users, like manner of typing, speed of cursor, or mouse movement curve. This presentation will focus on how to use those features to build behavioral models which will be unique and adjusted to each of thousands of customers. This problem has some important additional aspects. For one user several different models can be built, therefore some aggregation methods have to be delivered. Some of the data have to be anonymized. Continuous authentication is excepted by businesses. These factors define important limitations for model productionization. They will also be discussed.

Biography:

Tomasz Bąk has completed his Ph.D. in 2018 from the University of Economics in Katowice in the area of spatial sampling. He is the Head of AI in Digital Fingerprints, a company that provides a tool that would defend every user of the critical service from the digital hijack. He has published several papers in reputed journals and in the same gathered 8 years of experience in developing ML & Data Science solutions for business.