| Abstract |
With the rapid advancement in IOT devices and networking technologies in recent years, the concept of smart cities has emerged as an important paradigm. A smart city is a heterogeneous network of ubiquitous sensors, along with intelligent processing and control systems. A smart city monitors the residents in real time and facilitates its inhabitants with intelligent services in terms of health, transportation, energy, governance, etc. Thus, security and privacy have become inevitable concerns for such systems. Therefore, ensuring security and privacy in smart cities is essentially needed in order to enhance trust and confidence level among citizens, thereby increasing their participation and trust with the services. STRIDE, a popular threat modeling technique developed by Microsoft, is widely used for modeling security threats in a complex system. In this paper, authors have made an attempt to model security-related threats in smart cities using the STRIDE methodology, categorize them accordingly, and suggest possible countermeasures for each threat. © Springer Nature Singapore Pte Ltd. 2020. |