Modeling User-Centric Threats in Smart City: A Hybrid Threat Modeling Method

Coco Koban (Contributor)
Maryia Falaleyeva (Contributor)
Roman Moiseev (Contributor)
Maria Spravtseva (Contributor)
Khan, S. (Speaker)

Activity: Talk or presentation › Science to science

Period	6 Dec 2022
Event title	IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)
Event type	Conference

Austrian Classification of Fields of Science and Technology (ÖFOS)

102016 IT security
102034 Cyber-physical systems
102025 Distributed systems

Keywords

Security
Privacy
Smart City
Threat Modeling
Machine Learning
blockchain

Documents & Links

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.