| Big data for cybersecurity: Vulnerability disclosure trends and dependencies MJ Tang, M Alazab, Y Luo IEEE Transactions on Big Data 5 (3), 317-329, 2019 | 129 | 2019 |
| Deep Learning Applications for Cyber Security M Alazab, MJ Tang | 74 | 2019 |
| Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description J Yin, MJ Tang, J Cao, H Wang Knowledge-Based Systems, 2020 | 38 | 2020 |
| Vulnerability Exploitation Time Prediction: an Integrated Framework for Dynamic Imbalanced Learning J Yin, MJ Tang, J Cao, H Wang, M You, Y Lin World Wide Web Journal, 2021 | 36 | 2021 |
| Unsupervised fraud detection in Medicare Australia MJ Tang, BSU Mendis, DW Murray, Y Hu, A Sutinen Proceedings of the Ninth Australasian Data Mining Conference-Volume 121, 103-110, 2011 | 29 | 2011 |
| Disclosure of Cyber Security Vulnerabilities: Time Series Modelling M Tang, M Alazab, Y Luo, M Donlon International Journal of Electronic Security and Digital Forensics, 2017 | 22 | 2017 |
| A dynamic mechanism for handling mobile computing environmental changes MJ Tang, J Cao Proceedings of the 1st international conference on Scalable information …, 2006 | 18 | 2006 |
| Adaptive Online Learning for Vulnerability Exploitation Time Prediction J Yin, MJ Tang, J Cao, H Wang, M You, Y Lin 21st International Conference on Web Information Systems Engineering (WISE 2020), 2020 | 16 | 2020 |
| Modelling of Extreme Vulnerability Disclosure in Smart City Industrial Environments MJ Tang, Y Jiao, M Alazab, J Cao, Y Luo IEEE Transactions on Industrial Informatics 17 (6), 4150-4158, 2021 | 15 | 2021 |
| DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation H Hu, MJ Tang, C Bai 29th ACM International Conference on Information and Knowledge Management …, 2020 | 14 | 2020 |
| Exploiting vulnerability disclosures: statistical framework and case study MJ Tang, M Alazab, Y Luo 2016 Cybersecurity and Cyberforensics Conference (CCC), 117-122, 2016 | 14 | 2016 |
| A Real-time Dynamic Concept Adaptive Learning Algorithm for Exploitability Prediction J Yin, MJ Tang, J Cao, H Wang, M You Neurocomputing 472, 252-265, 2022 | 11 | 2022 |
| Privacy-preserving Bilateral Fine-grained Access Control for Cloud-enabled Industrial IoT Healthcare J Sun, Y Yuan, MJ Tang, X Cheng, X Nie, UA Muhammad IEEE Transactions on Industrial Informatics, 2021 | 11 | 2021 |
| Knowledge-Driven Cybersecurity intelligence: Software Vulnerability Co-exploitation Behaviour Discovery J Yin, MJ Tang, J Cao, M You, H Wang, M Alazab IEEE Transactions on Industrial Informatics, 2022 | 9 | 2022 |
| A Privacy-aware and Traceable Fine-grained Data Delivery System in Cloud-assisted Healthcare IIoT J Sun, D Chen, N Zhang, G Xu, MJ Tang, X Nie, M Cao IEEE Internet of Things Journal, 2021 | 9 | 2021 |
| Data-driven hierarchical neural network modeling for high-pressure feedwater heater group J Yin, M You, J Cao, H Wang, MJ Tang, YF Ge Databases Theory and Applications: 31st Australasian Database Conference …, 2020 | 8 | 2020 |
| Efficient power management for Wireless Sensor Networks: A data-driven approach MJ Tang, J Cao, X Jia 2008 33rd IEEE Conference on Local Computer Networks (LCN), 106-113, 2008 | 6 | 2008 |
| Secure Data Sharing With Flexible Cross-Domain Authorization in Autonomous Vehicle Systems J Sun, G Xu, T Zhang, X Cheng, X Han, MJ Tang IEEE Transactions on Intelligent Transportation Systems, 2022 | 4 | 2022 |
| Tampa: Tabu search-based multiple queries optimization for wireless sensor networks MJ Tang, J Cao, NK Chilamkurti 2007 International Conference on Wireless Communications, Networking and …, 2007 | 4 | 2007 |
| Robust Information Bottleneck for Task-Oriented Communication with Digital Modulation S Xie, Y Wu, S Ma, M Ding, Y Shi, MJ Tang IEEE Journal on Selected Areas in Communications, 2023 | 3 | 2023 |
Jinli CaoLa Trobe UniversityEmail verificata su latrobe.edu.au
