Tian Tan

Tian Tan


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 July 2021 in The Journal of Supercomputing
Verified
Journal Article
Closed access
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Subrota Kumar MondalSubrota Kumar Mondal
Subrota Kumar Mondal
RPRui Pan
Rui Pan
HKHussain Mohammed Kabir
Hussain Mohammed Kabir
TTTian Tan
Tian Tan
Hong-Ning DaiHong-Ning Dai
Hong-Ning Dai

4 March 2023 in Electronics
Verified
Journal Article
Open access
PDF file
Subrota Kumar MondalSubrota Kumar Mondal
Subrota Kumar Mondal
TTTian Tan
Tian Tan
SKSadia Khanam
Sadia Khanam
KKkeshav kumar
keshav kumar
HKHussain Mohammed Kabir
Hussain Mohammed Kabir
KNKan Ni
Kan Ni
With the rapidly increasing demands of e-government systems in smart cities, a myriad of challenges and issues are required to be addressed. Among them, security is one of the prime concerns. To this end, we analyze different e-government systems and find that an e-government system built with container-based technology is endowed with many features. In addition, overhauling the architecture of container-technology-driven e-government systems, we observe that securing an e-government system demands quantifying security issues (vulnerabilities, threats, attacks, and risks) and the related countermeasures. Notably, we find that the Attack Tree and Attack–Defense Tree methods are state-of-the-art approaches in these aspects. Consequently, in this paper, we work on quantifying the security attributes, measures, and metrics of an e-government system using Attack Trees and Attack–Defense Trees—in this context, we build a working prototype of an e-government system aligned with the United Kingdom (UK) government portal, which is in line with our research scope. In particular, we propose a novel measure to quantify the probability of attack success using a risk matrix and normal distribution. The probabilistic analysis distinguishes the attack and defense levels more intuitively in e-government systems. Moreover, it infers the importance of enhancing security in e-government systems. In particular, the analysis shows that an e-government system is fairly unsafe with a 99% probability of being subject to attacks, and even with a defense mechanism, the probability of attack lies around 97%, which directs us to pay close attention to e-government security. In sum, our implications can serve as a benchmark for evaluation for governments to determine the next steps in consolidating e-government system security.