Abstract:
This paper presents a novel technique to uniquely identify a user using data gathered from a mouse and the users eyes during computer use. The research involves gathering...Show MoreMetadata
Abstract:
This paper presents a novel technique to uniquely identify a user using data gathered from a mouse and the users eyes during computer use. The research involves gathering data from users, extracting user features, and training a Neural Network classifier that can identify them. Previous work has attempted to identify users solely by eye or mouse data alone, but we seek to find out if combining the two kinds of data can produce better results. After going through this process and investigating several Neural Network based classification models we conclude that combining both techniques produces better results and will become practical once the hardware is more widespread.
Published in: 2017 IEEE Security and Privacy Workshops (SPW)
Date of Conference: 25-25 May 2017
Date Added to IEEE Xplore: 21 December 2017
ISBN Information: