Paul A. Watters

La Trobe University, Flora Hill, Victoria, Australia 
Cognitive and neural modeling
"Paul Watters"

Paul A. Watters is Adjunct Professor at La Trobe University, and Honorary Professor at Macquarie University. He read for a BA at the University of Newcastle, a BA (First Class Hons) at the University of Tasmania, an MPhil at the University of Cambridge and a PhD at Macquarie University.

Mean distance: 16.19 (cluster 29)


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David J. Tolhurst grad student 1996-1997 Cambridge
 (MPhil supervisor)
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Kayes ASM, Kalaria R, Sarker IH, et al. (2020) A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues. Sensors (Basel, Switzerland). 20
Sarker IH, Kayes ASM, Badsha S, et al. (2020) Cybersecurity data science: an overview from machine learning perspective Journal of Big Data. 7: 1-29
Hammoudeh M, Epiphaniou G, Belguith S, et al. (2020) A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases Ieee Sensors Journal. 1-1
Kayes A, Rahayu W, Watters P, et al. (2020) Achieving security scalability and flexibility using Fog-Based Context-Aware Access Control Future Generation Computer Systems. 107: 307-323
Watters PA, Scolyer-Gray P, Kayes ASM, et al. (2019) This would work perfectly if it weren’t for all the humans: Two factor authentication in late modern societies First Monday. 24
Sarker IH, Kayes ASM, Watters PA. (2019) Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage Journal of Big Data. 6: 1-28
Chowdhury MJM, Ferdous MS, Biswas K, et al. (2019) A Comparative Analysis of Distributed Ledger Technology Platforms Ieee Access. 7: 167930-167943
Watters PA, Ziegler J. (2016) Controlling information behaviour: The case for access control Behaviour and Information Technology. 35: 268-276
Chang V, Ramachandran M, Wills G, et al. (2016) Editorial for FGCS special issue: Big Data in the cloud Future Generation Computer Systems
Prichard J, Watters P, Krone T, et al. (2015) Social Media Sentiment Analysis: A New Empirical Tool for Assessing Public Opinion on Crime? Current Issues in Criminal Justice. 27: 217-236
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