Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System

Garabato, D.; Rodríguez García, Jorge; Nóvoa, Francisco; Dafonte, Carlos

Use this link to cite:

http://hdl.handle.net/2183/23886

Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System

Files

D.Garabato_2019_Mouse_Behavior_Analysis_Based_on_Artificial_Intelligence_as_a_Second-Phase_Authentication_System.pdf (191.33 KB)

Identifiers

URI: http://hdl.handle.net/2183/23886

DOI: 10.3390/proceedings2019021029

Publication date

2019-08-01

Authors

Garabato, D.

Rodríguez García, Jorge

Nóvoa, Francisco

Dafonte, Carlos

Bibliographic citation

GARABATO, Daniel, et al. Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System. En Multidisciplinary Digital Publishing Institute Proceedings. 2019. p. 29.

Abstract

[Abstract] Nowadays, a wide variety of computer systems use authentication protocols based on several factors in order to enhance security. In this work, the viability of a second-phase authentication scheme based on users’ mouse behavior is analyzed by means of classical Artificial Intelligence techniques, such as the Support Vector Machines or Multi-Layer Perceptrons. Such methods were found to perform particularly well, demonstrating the feasibility of mouse behavior analytics as a second-phase authentication mechanism. In addition, in the current stage of the experiments, the classification techniques were found to be very stable for the extracted features.