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Identifying and mitigating security risks for secure and robust NGI networks

Lever, KE and Kifayat, K (2020) Identifying and mitigating security risks for secure and robust NGI networks. Sustainable Cities and Society, 59. ISSN 2210-6707

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Abstract

Smart city development is important to achieve sustainable cities and societies which help enhance urban services, reduce resource consumption and decrease overall cost. The incorporation of smart cities with the Internet has given us the Next Generation of Internet (NGI) where every smart device exploits the interconnected services and infrastructure of the Internet. The underlying structure of NGI is composed of large scale heterogeneous multilevel systems-of-systems (SoSs) where each system represents a sensor, mobile phone, computer or smart device. Security and privacy is a fundamental requirement of NGI which is heavily dependent on the composition of services and connectivity of the underlying systems. Meaning any unsecure system can affect the security of the entire networked infrastructure/SoSs. Therefore, it is important to analyse and understand the composition of different systems at different levels in NGI in order to identify and mitigate vulnerabilities. This paper proposes a solution to identify and mitigate vulnerabilities within multilevel SoSs, to enhance security without deploying additional security at endpoints, and quantify security levels of individual systems and the entire composed system. The solution was tested and evaluated using simulation and a network testbed. Results show that NGI security can be enhanced with better composition of systems. © 2020 Elsevier Ltd

Item Type: Article
Uncontrolled Keywords: 0502 Environmental Science and Management, 1205 Urban and Regional Planning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 11 May 2020 12:03
Last Modified: 11 May 2020 12:15
DOI or Identification number: 10.1016/j.scs.2020.102098
URI: http://researchonline.ljmu.ac.uk/id/eprint/12922

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