Increasing pressures on the city’s resources and citizen’s failing quality of life have given rise to the concept of smart cities in recent times. Smart cities are strategically administered ecosystems where traditional means of managing the same are replaced by better technology as well as socio-cultural interventions. Technological frameworks have aimed at defining better communication protocols with increased stress on data-enabled administration. By 2024, 44% of the total budget spending will be split across different smart city components and thus, leaving them extremely underfunded and vulnerable to cyber-attacks. Cyber-attacks on smart cities provide larger attack surface for hackers due to its high interconnectedness. In this study, we wish to analyse integrated traffic management system data and tag abnormal traffic events resulting due to cyber-attacks happening in the same universe of discourse. Finally, we state ways to mitigate the cyber-risk in the aforesaid system for over 9 months.
Sharma, Kalpit and Mukhopadhyay, Arunabha, "Cyber-risk assessment model for smart cities: A time-series approach" (2020). AMCIS 2020 TREOs. 32.
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