  Flood is a natural phenomenon that causes severe environmental damage and
destruction in smart cities. After a flood, topographic, geological, and living
conditions change. As a result, the previous information regarding the
environment is no more valid. Rescue and relief organizations that intend to
help the affected people need to obtain new and accurate information about the
conditions of the flooded environment. Acquiring this required information in
the shortest time is a challenge for realizing smart cities. Due to the
advances in the Internet of Things technology and the prevalence of smartphones
with several sensors and functionalities, it is possible to obtain the required
information by leveraging the Crowdsourcing model. In this paper, the
information required from a flooded area is classified into four categories:
victim, Facility and Livelihood, medical, and transfer. Next, a crowdsourcing
scheme for acquiring information is proposed, including malicious user
detection to ensure the accuracy of information received. Finally, simulation
results indicate that the proposed scheme correctly detects malicious users and
ensures the quality of obtained information.
