Dr Chao Chen ~ Senior Lecturer, Information Technology

Dr Chao Chen is currently a 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).

Teaching

• CP2404: Database Modelling (Level 2; TSV)
• CP2414: Network Security (Level 2; TSV)
• CP3401: e-Strategic Management (Level 3; CNS & TSV)
• CP5633: Database Modelling (Level 5; TSV)
• CP5636: e-Strategic Management (Level 5; CNS & TSV)
• CP5806: Data Information: Management, Security, Privacy and Ethics (Level 5; CNS & ONL)

Interests

Research

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

Experience

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

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

• 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, DOI:10.2478/popets-2021-0012.
• Liu S, Dibaei M, Tai Y, Chen C, Zhang J and Xiang Y (2020) Cyber vulnerability intelligence for Internet of Things binary. IEEE Transactions on Industrial Informatics, 16 (3), pp. 2154-2163, DOI:10.1109/TII.2019.2942800.
• Ban X, Liu S, Chen C and Chua C (2019) A performance evaluation of deep-learnt features for software vulnerability detection. Concurrency and Computation: Practice and Experience, 31 (19), Article: e5103, DOI:10.1002/cpe.5103.
• Liu L, Chen C, Zhang J, De Vel O and Xiang Y (2019) Insider threat identification using the simultaneous neural learning of multi-source logs. IEEE Access, 7, pp. 183162-183176, DOI:10.1109/ACCESS.2019.2957055.
• Chen C, Wang Y, Zhang J, Xiang Y, Zhou W and Min G (2017) Statistical features-based real-tme detection of drifted Twitter spam. IEEE Transactions on Information Forensics and Security, 12 (4), pp. 914-925, DOI:10.1109/TIFS.2016.2621888.
• Chen C, Wen S, Zhang J, Xiang Y, Oliver J, Alelaiwi A and Hassan M (2017) Investigating the deceptive information in twitter spam. Future Generation Computer Systems, 72, pp. 319-326, DOI:10.1016/j.future.2016.05.036.
• Liu S, Wang Y, Zhang J, Chen C and Xiang Y (2017) Addressing the class imbalance problem in twitter spam detection using ensemble learning. Computers & Security, 69, pp. 35-49, DOI:10.1016/j.cose.2016.12.004.

Conference Papers

• Liu L, Chen C, Zhang J, De Vel O and Xiang Y (in press) 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
• Ban X, Chen C, Liu S, Wang Y and Zhang J (2019) Deep-learnt features for Twitter spam detection. Proceedings of the 2018 International Symposium on Security and Privacy in Social Networks and Big Data. In: SocialSec 2018: International Symposium on Security and Privacy in Social Networks and Big Data, 10-11 December 2018, Santa Clara, CA, USA
• Liu L, Chen C, Zhang J, De Vel O and Xiang Y (2019) Unsupervised insider detection through neural feature learning and model optimisation. Lecture Notes in Computer Science. In: NSS 2019: 13th International Conference on Network and System Security, 15-18 December 2019, Sapporo, Japan
• Liu Z, Chen C, Liu S, Liu D and Wang Y (2019) Exploit in smart devices: a case study. Communications in Computer and Information Science. In: SocialSec 2019: 5th International Symposium on Security and Privacy in Social Networks and Big Data, 14-17 July 2019, Copenhagen, Denmark
• Liu L, De Vel O, Chen C, Zhang J and Xiang Y (2018) Anomaly-based insider threat detection using deep autoencoders. Proceedings of the IEEE International Conference on Data Mining Workshops. In: ICDMW 2018: IEEE International Conference on Data Mining Workshops, 17-20 November 2018, Singapore

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ResearchOnline@JCU stores 22+ research outputs authored by Dr Chao Chen from 2013 onwards.

The map shows research collaborations by institution from the past 7 years.
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