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Data Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors.

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Sensor use and usefulness: Trade-offs for data-driven authentication on mobile devices., , , , and . PerCom, page 189-197. IEEE Computer Society, (2015)Data Driven Authentication: On the Effectiveness of User Behaviour Modelling with Mobile Device Sensors., , , , and . CoRR, (2014)Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99., , and . PST, (2005)Stop questioning me!: towards optimizing user involvement during data collection on mobile devices., , , and . Mobile HCI, page 588-593. ACM, (2013)Can a good offense be a good defense? Vulnerability testing of anomaly detectors through an artificial arms race., , and . Appl. Soft Comput., 11 (7): 4366-4383 (2011)A Case Study of Three Open Source Security Management Tools., and . Integrated Network Management, volume 246 of IFIP Conference Proceedings, page 101-104. Kluwer, (2003)Investigating the work practices of network security professionals., , , and . Inf. & Comput. Security, 23 (3): 347-367 (2015)Testing Detector Parameterization Using Evolutionary Exploit Generation., , , and . EvoWorkshops, volume 5484 of Lecture Notes in Computer Science, page 105-110. Springer, (2009)Using self-organizing maps to build an attack map for forensic analysis., and . PST, volume 380 of ACM International Conference Proceeding Series, page 33. ACM, (2006)Why aren't Users Using Protection? Investigating the Usability of Smartphone Locking., , , , and . MobileHCI, page 284-294. ACM, (2015)