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2017 | OriginalPaper | Buchkapitel

Behavioural Profiling Authentication Based on Trajectory Based Anomaly Detection Model of User’s Mobility

verfasst von : Piotr Kałużny

Erschienen in: Business Information Systems Workshops

Verlag: Springer International Publishing

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Abstract

Behavioural profiling and biometry are an interesting concept connected with authentication that have appeared in scientific literature and business world. Those methods indisputably offer new possibilities such as constant authentication and multi-user classification, but their taxonomy and definitions are not as clarified as it is for traditional authentication factors. The approach presented provides in this work provides an example of behavioural authentication model tested on a large dataset, focusing on one aspect of user behaviour - mobility, which can be adjusted to include other aspects in user behavioural authentication model. Also possible applications and extensions to the model are proposed.

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Fußnoten
1
This work focuses on implementing only the behavioural profiling methods based on mobility into a practical authentication framework.
 
2
Meaning both the pattern and each activity can be analyzed in multiple dimensions considering eg. geography, time, sequence of actions or semantics of the content.
 
3
Those two concepts will be used interchangeably in this work.
 
4
This aspect importance is twofold, defining the stability of a given user and his behaviour and enabling the updating of a profile (its evolution) considering the fact that user behaviour tends to change in a long period.
 
5
Inspired by security domain informed/uninformed attacker scenario [39].
 
6
Meaning the classification of anomaly was performed based on three consecutive activities.
 
7
As in iterative.
 
8
An average of 4 activities a day for a user on the sample tested.
 
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Metadaten
Titel
Behavioural Profiling Authentication Based on Trajectory Based Anomaly Detection Model of User’s Mobility
verfasst von
Piotr Kałużny
Copyright-Jahr
2017
Buch
Business Information Systems Workshops

Print ISBN: 978-3-319-69022-3

Electronic ISBN: 978-3-319-69023-0

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-69023-0_21