Security Quantification of Container-Technology-Driven E-Government Systems

Author:

Mondal Subrota Kumar1ORCID,Tan Tian1,Khanam Sadia2,Kumar Keshav3ORCID,Kabir Hussain Mohammed Dipu4,Ni Kan1

Affiliation:

1. School of Computer Science and Engineering, Macau University of Science and Technology, Taipa, Macao 999078, China

2. Dhaka Dental College, University of Dhaka, Dhaka 1206, Bangladesh

3. University Institute of Computing, Chandigarh University, Mohali 140413, Punjab, India

4. Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, VIC 3216, Australia

Abstract

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.

Funder

Science and Technology Development Fund of Macao, Macao SAR, China

Faculty Research Grant Projects of Macau University of Science and Technology, Macao SAR, China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference111 articles.

1. Yang, L., Elisa, N., and Eliot, N. (2019). Smart Cities Cybersecurity and Privacy, Elsevier.

2. Jadhav, B., and Patankar, A.B. (2018, January 22–24). A Novel Solution for Cloud Enabled E-Governance Using Openstack: Opportunities and Challenges. Proceedings of the International Conference on Communication, Networks and Computing, Gwalior, India.

3. The Smart City and its citizens: Governance and citizen participation in Amsterdam Smart City;Capra;Int. J. E-Plan. Res.,2016

4. Mora, L., and Bolici, R. (2015, January 19–20). How to become a smart city: Learning from Amsterdam. Proceedings of the International Conference on Smart and Sustainable Planning for Cities and Regions, Bolzano, Italy.

5. Anthopoulos, L., and Sirakoulis, K. (2015). Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications, IGI Global.

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3