Title |
Modeling User-Centric Threats in Smart City: A Hybrid Threat Modeling Method |
ID_Doc |
45419 |
Authors |
Koban, C; Falaleyeva, M; Spravtseva, M; Moiseev, R; Khan, S |
Title |
Modeling User-Centric Threats in Smart City: A Hybrid Threat Modeling Method |
Year |
2022 |
Published |
|
DOI |
10.1109/AICCSA56895.2022.10017885 |
Abstract |
The ever-changing technological trends form the basis of smart cities. The integration of blockchain in a smart city architecture can solve the increasing economic and social problems that negatively impact human life. On one hand, the smart cities are effectively improving the living standards of the citizens. On the other hand, the data gathering, processing and storing requirements of such technologies raise various security and privacy issues. Therefore, we aim to investigate the threats related to the privacy and security of users in a blockchain-based smart city. We use a hybrid threat modeling technique to investigate user-centric threats in a smart city architecture. For the threat analysis, we leverage NetObjex as our smart city use case. Our threat assessment unveils six different types of threats that are critical to the safety and well-being of residents in a smart city. |
Author Keywords |
Blockchain; IoT; Security; Privacy; Hybrid threat modeling; Smart city |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000932894200053 |
WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods |
Research Area |
Computer Science |
PDF |
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