| Title |
Caa: Centrality Adapter Attack For Evaluating Smart City Resilience Against Targeted Attacks |
| ID_Doc |
13212 |
| Authors |
Alsowaygh, NA; Almowuena, S; Alenazi, MJF; Alsabaan, M |
| Year |
2025 |
| Published |
TRAITEMENT DU SIGNAL, 42, 2 |
| DOI |
http://dx.doi.org/10.18280/ts.420209 |
| Abstract |
Nowadays, increasing reliance on technology has driven the emergence of smart cities. Smart cities have made life much better for residents, improved resource management, Centrality operating costs considerably. In smart cities, there are many technologies used to sense, collect, and exchange data through networks. One of the main aspects that must be addressed in smart cities is the possibility of recovering the network and its services in case of failures, without human intervention. In this paper, we investigate the proper resilience network topology for smart cities. We evaluate the resilience of smart city network topology against three targeted attacks where we propose a new targeted attack, Centrality Adaptive Attack (CAA), to evaluate the robustness of network topology while the other attacks are betweenness centrality linked attack and degree-based link attack. The result of the experiment shows the degree-based attack is the more damaging targeted attack than the other, while CAA is the least harmful attack with low resilience. Finally, the result indicated the mesh network topology provides a better quality of service against those attacks. |
| Author Keywords |
smart city; network resilience; graph; generator; network reliability; graph theory |
