Zhiyuan (Thomas) Tan - researcher in CYBER-SECURITY
Dr. Zhiyuan (Thomas) Tan (谭志远)
Ph.D. in Computer Systems (UTS)
Senior Member of IEEE
Member of ACM, EAI, BCS
Lecturer in Cybersecurity
School of Computing
Edinburgh Napier University
Merchiston Campus,
10 Colinton Road, Edinburgh
EH10 5DT, United Kingdom
Dr Zhiyuan Tan is an Associate Professor in the School of Computing at the Edinburgh Napier University (ENU). He holds a BEng degree (2005) with high distinction from the North-eastern University, China, and an MEng degree (2008) from the Beijing University of Technology, China. He was awarded a PhD degree in Computer Systems by the University of Technology Sydney (UTS), Australia in 2014.
Prior to joining ENU in 2016, Dr Tan held different research positions at three research-intensive universities, respectively. He was a Postdoctoral Researcher in Cybersecurity at the University of Twente (UT), the Netherlands from 2014 to 2016; a Research Associate at the University of Technology, Sydney (UTS), Australia in 2014; and a Senior Research Assistant at La Trobe University, Australia in 2013.
Dr Tan has a strong research background, and his current research interests include cybersecurity, machine learning, data analytics, virtualisation and cyber-physical system. Dr Tan has received AUD 27,800 funding from Commonwealth Scientific and Industrial Research Organisation (CSIRO) and UTS for his research on autonomous network intrusion detection, as well as £6,987 funding from ENU for his research on securing future 5G health care systems. Over the past nine years, he also has participated in other network security research projects funded by CSIRO, Minster of Education (Oman), and ITEA2-/CATRENE.
These projects have contributed highly efficient solutions for 1) detecting, classifying and defending malicious activity and intrusion in an entire network as well as systems providing critical services, 2) furthering the cutting edge in practical security monitoring, and 3) developing secure data and service architectures. Based on the outcomes of these projects, Dr Tan has published over 44 quality scholarly articles. His most recent research achievements have been published in highly-cited IEEE Transactions and Elsevier journals as well as premier international conferences.
His research contribution on cybersecurity is internationally recognised. According to Google Scholar, he has an H-Index of 13 and his research articles have received over 830 citations since 2011. Moreover, he has earned various research awards, including a National Research Award 2017 from the Research Council of the Sultanate of Oman, a Best Paper Award, and a Kaspersky Lab’s Annual Student Cyber Security Conference Finalist Award, over the past years.
Besides, Dr Tan has played various chair roles in international workshops and conferences, and has served international journals as an editorial board member or as an associate editor. Dr Tan has organised Special Issues for international journals. Dr Tan has also been invited to serve as a technical program committee member of major international conferences and a reviewer for prestigious journals.
In addition, Dr Tan has been involved in supervising Research Master and PhD students since he accomplished his PhD thesis in 2013 and has been entitled to independently supervise research student projects since 2016. Over the past 5 years, Dr Tan has mentored and supervised 9 PhD students, and his research students have achieved productive research outcomes, including 12 journal and 10 conference publications. By far, 6 PhD students have successfully accomplished their study under his mentoring.
NEWS!
Special Issue on Recent Advance in Security and Privacy for Smart Society (RASPSS19), Concurrency and Computation: Practice and Experience, Online ISSN:1532-0634 (Impact Factor of 1.114, Open for submission)
Special Collection on Advances in Cyber Physical Social Systems, International Journal of Distributed Sensor Networks, ISSN: 1550-1477 (Open for submission)
Conferences:
Selected Refereed Publications
M. A. Ambusaidi, X. He, P. Nanda and Z. Tan, (2016), Building an intrusion detection system using a filter-based feature selection algorithm, IEEE Transactions on Computers, vol. 65, no. 10, pp. 2986-2998, Oct. 2016. Impact Factor 2.916. SJR Q1. (The Twenty-Eighth Most Popular Article of November 2017)
Z. Tan, A. Jamdagni, X. He, P. Nanda, R.Liu and J. Hu, (2015), Detection of Denial-of-Service Attacks Based on Computer Vision Techniques, IEEE Transactions on Computers, vol.64, no.9, pp. 2519-2533, Sept. 2015. Impact Factor 2.916. SJR Q1. (The Ninth Most Popular Article of August 2015)
Z. Tan, U. T. Nagar, X. He, P. Nanda, R.Liu, S. Wang and J. Hu, (2014), Enhancing Big Data Security with Collaborative Intrusion Detection, IEEE Cloud Computing, vol.1, no.3, pp. 27-33, Sept. 2014. SJR Q1. (The Second Most Popular Article of May 2015)
Z. Tan, A. Jamdagni, X. He, P. Nanda and R. Liu, (2014), A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis, IEEE Transactions on Parallel and Distributed Systems, vol.25, no.2, pp.447-456, Feb. 2014. Impact Factor 4.181. SJR Q1
X. He, T. Chomsiri, P. Nanda and Z. Tan, (2014), Improving Cloud Network Security Using Tree-Rule Firewall, Future Generation Computer Systems, Volume 30, January 2014, pp. 116-126. Impact Factor 3.997. SJR Q1
A. Jamdagni, Z. Tan, P. Nanda, X. He and R. Liu, (2013), RePIDS: A Multi Tier Real-Time Payload-Based Intrusion Detection System, Computer Networks. 57(3) 2013, pp. 811-824. Impact Factor 2.516. SJR Q1
Web of Science ResearcherID: K-3120-2019
ResearcherID: O-4426-2014
Scopus Author ID: 35148534800
ORCID ID: orcid.org/0000-0001-5420-2554
Follow me on ResearchGate, DBLP, Google Scholar
RECRUITING Ph.D. Students!
I am now RECRUITING highly self-motivated Ph.D. students, who are expected to conduct challenging research on Network Security
Adversarial machine learning for Anomaly/Malware detection
Virtualisation security based on non-parametric behaviour modelling
Knowledge transfer (Transfer Machine Learning) in cyber-security problems
IoT Security with focuses on Cloud and Edge computing security issues
Recruiting a self-motivated PhD student. The successful candidate will work on the project "Securing Virtual Computing Environments with Machine Learning" under my supervision.
Application deadline: Thursday, May 31, 2018