ORCID as entered in ROS

Select Publications
2025, Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models
,2024, Towards Weaknesses and Attack Patterns Prediction for IoT Devices, http://dx.doi.org/10.48550/arxiv.2408.13172
,2024, Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification, http://dx.doi.org/10.48550/arxiv.2407.19662
,2024, AuditNet: A Conversational AI-based Security Assistant [DEMO], http://dx.doi.org/10.48550/arxiv.2407.14116
,2024, Data After Death: Australian User Preferences and Future Solutions to Protect Posthumous User Data, http://dx.doi.org/10.48550/arxiv.2407.01282
,2022, AI for Next Generation Computing: Emerging Trends and Future Directions, http://dx.doi.org/10.48550/arxiv.2203.04159
,2021, Is this IoT Device Likely to be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines, http://dx.doi.org/10.48550/arxiv.2111.11874
,2020, Towards Decentralized IoT Updates Delivery Leveraging Blockchain and Zero-Knowledge Proofs, http://dx.doi.org/10.48550/arxiv.2010.12134
,2020, Towards a Lightweight Continuous Authentication Protocol for Device-to-Device Communication, http://dx.doi.org/10.48550/arxiv.2010.05144
,2020, Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud, http://dx.doi.org/10.48550/arxiv.2005.07987
,2020, Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies, http://dx.doi.org/10.48550/arxiv.2004.01855
,2018, Gwardar: Towards Protecting a Software-Defined Network from Malicious Network Operating Systems, http://dx.doi.org/10.48550/arxiv.1809.06988
,2018, Gargoyle: A Network-based Insider Attack Resilient Framework for Organizations, http://dx.doi.org/10.48550/arxiv.1807.02593
,2018, Software-Defined Network (SDN) Data Plane Security: Issues, Solutions and Future Directions, http://dx.doi.org/10.48550/arxiv.1804.00262
,2017, WedgeTail: An Intrusion Prevention System for the Data Plane of Software Defined Networks, http://dx.doi.org/10.48550/arxiv.1708.05477
,2016, Towards Policy Enforcement Point as a Service (PEPS), http://dx.doi.org/10.48550/arxiv.1610.02526
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