Cargando…
Locally reconfigurable Self Organizing Feature Map for high impact malicious tasks submission in Mobile Crowdsensing()
Location-based clogging attacks in a Mobile Crowdsensing (MCS) system occur following upon the submission of fake tasks, and aim to consume the batteries and hardware resources of smart mobile devices such as sensors, memory and processors. Intelligent modeling of fake task submissions is required t...
Autores principales: | Chen, Xuankai, Simsek, Murat, Kantarci, Burak |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522706/ http://dx.doi.org/10.1016/j.iot.2020.100297 |
Ejemplares similares
-
Game Theory in Mobile CrowdSensing: A Comprehensive Survey
por: Dasari, Venkat Surya, et al.
Publicado: (2020) -
Use of Mobile Crowdsensing in Disaster Management: A Systematic Review, Challenges, and Open Issues
por: Cicek, Didem, et al.
Publicado: (2023) -
Design of a Local Information Incentive Mechanism for Mobile Crowdsensing
por: Nava Auza, Jose Mauricio, et al.
Publicado: (2019) -
A Personalized Task Allocation Strategy in Mobile Crowdsensing for Minimizing Total Cost
por: Gao, Hengfei, et al.
Publicado: (2022) -
When compressive sensing meets mobile crowdsensing
por: Kong, Linghe, et al.
Publicado: (2019)