Mouse authentication without the temporal aspect - What does a 2D-CNN learn?

Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

Mouse dynamics as behavioral biometrics are under investigation for their effectiveness in computer security systems. Previous state-of-the-art methods relied on heuristic feature engineering for the extraction of features. Our work addresses this issue by learning the features with a convolutional neural network (CNN), thereby eliminating the need for manual feature design. Contrary to time-series-based modeling approaches, we propose to use a two-dimensional CNN with images as inputs. While counterintuitive at first sight, it permits to profit from well-initialized lower-layer kernels obtained via transfer learning. We demonstrate our results on two public datasets, Balabit and TWOS, and compare against a 1D-CNN and a classical baseline relying on hand-crafted features, which are both outperformed. We show that a position-independent variant of the 2D-CNN loses little performance yet we learned that the trained classifier is very sensitive to simulated resolution shifts at test time. In a final step, we analyze and visualize the learned features on single test curves using layer-wise relevance propagation (LRP). This analysis reveals that the 2D-CNN uses curve information only sparsely, with a tendency to assign little relevance to straight segments and artifactual curve crossings.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages15-21
Number of pages7
ISBN (Print)9780769563497
DOIs
StatePublished - 2 Aug 2018
Event2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018 - San Francisco, United States
Duration: 24 May 2018 → …

Publication series

NameProceedings - 2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018

Conference

Conference2018 IEEE Symposium on Security and Privacy Workshops, SPW 2018
Country/TerritoryUnited States
CitySan Francisco
Period24/05/18 → …

Keywords

  • Authentication
  • CNN
  • LRP
  • Mouse dynamics

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