Intrusion Detection Using Mouse Dynamics

10/10/2018
by   Margit Antal, et al.
0

Compared to other behavioural biometrics, mouse dynamics is a less explored area. General purpose data sets containing unrestricted mouse usage data are usually not available. The Balabit data set was released in 2016 for a data science competition, which against the few subjects, can be considered the first adequate publicly available one. This paper presents a performance evaluation study on this data set for impostor detection. The existence of very short test sessions makes this data set challenging. Raw data were segmented into mouse move, point and click and drag and drop types of mouse actions, then several features were extracted. In contrast to keystroke dynamics, mouse data is not sensitive, therefore it is possible to collect negative mouse dynamics data and to use two-class classifiers for impostor detection. Both action- and set of actions-based evaluations were performed. Set of actions-based evaluation achieves 0.92 AUC on the test part of the data set. However, the same type of evaluation conducted on the training part of the data set resulted in maximal AUC (1) using only 13 actions. Drag and drop mouse actions proved to be the best actions for impostor detection.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/30/2019

The Wilderness Area Data Set: Adapting the Covertype data set for unsupervised learning

Benchmark data sets are of vital importance in machine learning research...
research
07/17/2021

Minimising quantifier variance under prior probability shift

For the binary prevalence quantification problem under prior probability...
research
06/21/2017

Stance Detection in Turkish Tweets

Stance detection is a classification problem in natural language process...
research
08/24/2023

Introducing a New Alert Data Set for Multi-Step Attack Analysis

Intrusion detection systems (IDS) reinforce cyber defense by autonomousl...
research
03/06/2019

A Survey of Network-based Intrusion Detection Data Sets

Labeled data sets are necessary to train and evaluate anomaly-based netw...
research
03/29/2022

OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs

Deep learning has remarkably advanced in the last few years, supported b...
research
09/06/2016

Delaunay Triangulation on Skeleton of Flowers for Classification

In this work, we propose a Triangle based approach to classify flower im...

Please sign up or login with your details

Forgot password? Click here to reset