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Jill Slay
Jill Slay
University of South Australia SmartSat Chair in Cybersecurity
Verified email at unisa.edu.au - Homepage
Title
Cited by
Cited by
Year
UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set)
N Moustafa, J Slay
2015 military communications and information systems conference (MilCIS), 1-6, 2015
38002015
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set
N Moustafa, J Slay
Information Security Journal: A Global Perspective 25 (1-3), 18-31, 2016
11752016
Lessons learned from the maroochy water breach
J Slay, M Miller
International conference on critical infrastructure protection, 73-82, 2007
9462007
A holistic review of network anomaly detection systems: A comprehensive survey
N Moustafa, J Hu, J Slay
Journal of Network and Computer Applications 128, 33-55, 2019
3492019
Novel geometric area analysis technique for anomaly detection using trapezoidal area estimation on large-scale networks
N Moustafa, J Slay, G Creech
IEEE transactions on big data 5 (4), 481-494, 2017
3092017
The significant features of the UNSW-NB15 and the KDD99 data sets for network intrusion detection systems
N Moustafa, J Slay
2015 4th international workshop on building analysis datasets and gathering …, 2015
2902015
Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling
W Haider, J Hu, J Slay, BP Turnbull, Y Xie
Journal of Network and Computer Applications 87, 185-192, 2017
2352017
Big data analytics for intrusion detection system: Statistical decision-making using finite dirichlet mixture models
N Moustafa, G Creech, J Slay
Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies …, 2017
2302017
Towards developing network forensic mechanism for botnet activities in the IoT based on machine learning techniques
N Koroniotis, N Moustafa, E Sitnikova, J Slay
Mobile Networks and Management: 9th International Conference, MONAMI 2017 …, 2018
2272018
A hybrid feature selection for network intrusion detection systems: Central points
N Moustafa, J Slay
arXiv preprint arXiv:1707.05505, 2017
1372017
Validation and verification of computer forensic software tools—Searching Function
Y Guo, J Slay, J Beckett
digital investigation 6, S12-S22, 2009
1272009
Evaluating host-based anomaly detection systems: Application of the one-class SVM algorithm to ADFA-LD
M Xie, J Hu, J Slay
2014 11th International conference on fuzzy systems and knowledge discovery …, 2014
1072014
Digital forensics: Validation and verification in a dynamic work environment
J Beckett, J Slay
2007 40th Annual Hawaii International Conference on System Sciences (HICSS …, 2007
782007
Money laundering and terrorism financing in virtual environments: a feasibility study
A SM Irwin, J Slay, KK Raymond Choo, L Lui
Journal of Money Laundering Control 17 (1), 50-75, 2014
752014
Generalized outlier gaussian mixture technique based on automated association features for simulating and detecting web application attacks
N Moustafa, G Misra, J Slay
IEEE Transactions on Sustainable Computing 6 (2), 245-256, 2018
742018
Anomaly detection system using beta mixture models and outlier detection
N Moustafa, G Creech, J Slay
Progress in Computing, Analytics and Networking: Proceedings of ICCAN 2017 …, 2018
742018
Recovery of skype application activity data from physical memory
M Simon, J Slay
2010 International Conference on Availability, Reliability and Security, 283-288, 2010
702010
Information technology security and risk management
J Slay, A Koronios
Wiley, 2006
642006
Cyber terrorism: A homogenized taxonomy and definition
JJ Plotnek, J Slay
Computers & Security 102, 102145, 2021
502021
Creating novel features to anomaly network detection using DARPA-2009 data set
N Moustaf, J Slay
Proceedings of the 14th European Conference on Cyber Warfare and Security …, 2015
482015
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