| A survey of emerging threats in cybersecurity J Jang-Jaccard, S Nepal Journal of computer and system sciences 80 (5), 973-993, 2014 | 1256 | 2014 |
| IGRF-RFE: a hybrid feature selection method for MLP-based network intrusion detection on UNSW-NB15 dataset Y Yin, J Jang-Jaccard, W Xu, A Singh, J Zhu, F Sabrina, J Kwak Journal of Big Data 10 (1), 15, 2023 | 192 | 2023 |
| Improving Performance of Autoencoder-based Network Anomaly Detection on NSL-KDD dataset W Xu, J Jang-Jaccard, A Singh, Y Wei, F Sabrina IEEE Access 9, 140136 - 140146, 2021 | 184 | 2021 |
| Barriers for delivering telehealth in rural Australia: a review based on Australian trials and studies J Jang-Jaccard, S Nepal, L Alem, J Li Telemedicine and e-Health 20 (5), 496-504, 2014 | 174 | 2014 |
| LSTM-autoencoder-based anomaly detection for indoor air quality time-series data Y Wei, J Jang-Jaccard, W Xu, F Sabrina, S Camtepe, M Boulic IEEE Sensors Journal 23 (4), 3787-3800, 2023 | 150 | 2023 |
| Deep Q-learning based reinforcement learning approach for network intrusion detection H Alavizadeh, H Alavizadeh, J Jang-Jaccard Computers 11 (3), 41, 2022 | 145 | 2022 |
| AE-MLP: A Hybrid Deep Learning Approach for DDoS Detection and Classification Y Wei, J Jang-Jaccard, F Sabrina, A Singh, W Xu, S Camtepe IEEE Access 9, 146810-146821, 2021 | 125 | 2021 |
| Compensation is not enough [fault-handling and compensation mechanism] P Greenfield, A Fekete, J Jang, D Kuo Seventh IEEE International Enterprise Distributed Object Computing …, 2003 | 124 | 2003 |
| WebRTC-based video conferencing service for telehealth J Jang-Jaccard, S Nepal, B Celler, B Yan Computing 98 (1), 169-193, 2016 | 102 | 2016 |
| The inadequacy of entropy-based ransomware detection T McIntosh, J Jang-Jaccard, P Watters, T Susnjak Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 89 | 2019 |
| A few-shot meta-learning based siamese neural network using entropy features for ransomware classification J Zhu, J Jang-Jaccard, A Singh, I Welch, ALS Harith, S Camtepe Computers & Security 117, 102691, 2022 | 80 | 2022 |
| A framework for telehealth program evaluation S Nepal, J Li, J Jang-Jaccard, L Alem Telemedicine and e-Health 20 (4), 393-404, 2014 | 56 | 2014 |
| A comprehensive survey of generative adversarial networks (GANs) in cybersecurity intrusion detection A Dunmore, J Jang-Jaccard, F Sabrina, J Kwak IEEE Access, 2023 | 49 | 2023 |
| Artificial intelligence-enabled DDoS detection for blockchain-based smart transport systems T Liu, F Sabrina, J Jang-Jaccard, W Xu, Y Wei Sensors 22 (1), 32, 2021 | 44 | 2021 |
| Evaluation for combination of shuffle and diversity on moving target defense strategy for cloud computing H Alavizadeh, J Jang-Jaccard, DS Kim 2018 17th IEEE international conference on trust, security and privacy in …, 2018 | 42 | 2018 |
| Multi-loss siamese neural network with batch normalization layer for malware detection J Zhu, J Jang-Jaccard, PA Watters IEEE access 8, 171542-171550, 2020 | 37 | 2020 |
| Towards privacy-preserving classification in neural networks M Baryalai, J Jang-Jaccard, D Liu 2016 14th annual conference on privacy, security and trust (PST), 392-399, 2016 | 36 | 2016 |
| Large scale behavioral analysis of ransomware attacks TR McIntosh, J Jang-Jaccard, PA Watters Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 35 | 2018 |
| Design of a multi-site multi-state clinical trial of home monitoring of chronic disease in the community in Australia BG Celler, R Sparks, S Nepal, L Alem, M Varnfield, J Li, J Jang-Jaccard, ... BMC public health 14, 1-16, 2014 | 34 | 2014 |
| A survey on cyber situation-awareness systems: Framework, techniques, and insights H Alavizadeh, J Jang-Jaccard, SY Enoch, H Al-Sahaf, I Welch, ... ACM Computing Surveys 55 (5), 1-37, 2022 | 33 | 2022 |
Surya NepalCSIRO’s Data61, AustraliaVerified email at csiro.au
