Dr Chao Chen has joined RMIT University. He is currently an Adjunct Senior Lecturer in Cybersecurity at College of Science and Engineering. He received his PhD degree in Information Technology from Deakin University in 2017. From 2016 to 2018, he worked as a Data Scientist at Telstra to create customer value from huge and heterogeneous data sources using advanced analytics and big data techniques. He then worked at Swinburne Unversity of Technology as a Research Scientist from 2018 to 2020. He is conducting interdisciplinary research between cybersecurity and artificial intelligence (AI), such as AI for cybersecurity and security issues in AI models. He has published more than 20 research papers in refereed international journals and conferences, such as IEEE Transactions on Information Forensics and Security (TIFS), Privacy Enhancing Technologies Symposium (PETS) and ACM Asia Conference on Computer & Communications Security (ASIACCS). One of his papers was the featured article of that issue (IT Professional Mar.-Apr. 2016).

Interests

Research

• Security and Privacy in AI
• Software Vulnerability Analysis
• Network Traffic Analysis
• Insider Threat Detection
• IoT Security

Experience

• 2022 to present - Adjunct Senior Lecturer, James Cook University
• 2020 to 2022 - Senior Lecturer, James Cook University
• 2018 to 2020 - Research Scientist, Swinburne University of Technology
• 2016 to 2018 - Data Scientist, Telstra

Research Disciplines

• Cybersecurity and privacy (4604)
• Artificial intelligence (4602)

Socio-Economic Objectives

• Information systems, technologies and services (2204)

Awards

• 2013 - Vice Chancellor Price - Deakin University

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

• Fei G, Cheng Y, Ma W, Chen C, Wen S and Hu G (in press) Real-Time Detection of COVID-19 Events From Twitter: A Spatial-Temporally Bursty-Aware Method. IEEE Transactions on Computational Social Systems,
• Li X, Ghodosi H, Chen C, Sankupellay M and Lee I (2022) Improving Network-Based Anomaly Detection in Smart Home Environment. Sensors, 22 (15).
• Ma W, Hu X, Chen C, Wen S, Choo K and Xiang Y (2022) Social media event prediction using DNN with feedback mechanism. ACM Transactions on Management Information Systems, 13 (3).
• Xu C, Ding Y, Chen C, Ding Y, Zhou W and Wen S (2022) Personalized Location Privacy Protection for Location-Based Services in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 24 (1). pp. 1163-1177
• Zhang J, Pan L, Han Q, Chen C, Wen S and Xiang Y (2022) Deep learning based attack detection for cyber-physical system cybersecurity: a survey. IEEE - CAA Journal of Automatica Sinica, 9 (3). pp. 377-391
• Li H, Xia C, Wang T, Wen S, Chen C and Xiang Y (2021) Capturing dynamics of information diffusion in SNS: a survey of methodology and techniques. ACM Computing Surveys, 55 (1).
• Miao Y, Chen C, Pan L, Han Q, Zhang J and Xiang Y (2021) Machine learning–based cyber attacks targeting on controlled information: a survey. ACM Computing Surveys, 54 (7). pp. 1-36
• Miao Y, Minhui X, Chen C, Pan L, Zhang J, Zhao B, Kaafar D and Xiang Y (2021) The audio auditor: user-level membership inference in Internet of Things voice services. Proceedings on Privacy Enhancing Technologies, 2021 (1). pp. 209-228

Conference Papers

• Ban X, Ding M, Liu S, Chen C, Zhang J and Xiang Y (2022) TAESim: A Testbed for IoT Security Analysis of Trigger-Action Environment. Lecture Notes in Computer Science. In: ESORICS 2021: European Symposium on Research in Computer Security, 4-8 October 2021, Virtual
• Miao Y, Chen C, Pan L, Liu S, Camtepe S, Zhang J and Xiang Y (2022) No-Label User-Level Membership Inference for ASR Model Auditing. Lecture Notes in Computer Science. In: ESORICS 2022: 27th European Symposium on Research in Computer Security, 26-30 September 2022, Copenhagen, Denmark
• Zhang B, Li J, Chen C, Lee K and Lee I (in press) A Practical Botnet Traffic Detection System using GNN. Lecture Notes in Computer Science. In: CSS 2021: Cyberspace Safety and Security, 9-11 November 2021, Virtual
• Liu L, Chen C, Zhang J, De Vel O and Xiang Y (2020) Doc2vec-based insider threat detection through behaviour analysis of multi-source security logs. Proceedings of the IEEE 19th International Conference on Trust, Security and Privacy in Computing. In: TrustCom 2020: IEEE 19th International Conference on Trust, Security and Privacy in Computing, 29 December 2020 - 1 January 2021, Guangzhou, China

More

ResearchOnline@JCU stores 39+ research outputs authored by Dr Chao Chen from 2012 onwards.

Current and recent Research Funding to JCU is shown by funding source and project.

Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

Current

• Defending Deep Neural Network Systems from Malicious Data Poisoning Attacks (PhD , Primary Advisor)
• Defending against Cyber-attacks targeting AI-enabled Applications in Industry 4.0 (PhD , Primary Advisor)
• ML-based Ransomware Protection (PhD , Primary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.