Cargando…
MDABP: A Novel Approach to Detect Cross-Architecture IoT Malware Based on PaaS
With the development of internet technology, the Internet of Things (IoT) has been widely used in several aspects of human life. However, IoT devices are becoming more vulnerable to malware attacks due to their limited computational resources and the manufacturers’ inability to update the firmware o...
Autores principales: | Zhao, Yang, Kuerban, Alifu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051615/ https://www.ncbi.nlm.nih.gov/pubmed/36991771 http://dx.doi.org/10.3390/s23063060 |
Ejemplares similares
-
IoT malware detection architecture using a novel channel boosted and squeezed CNN
por: Asam, Muhammad, et al.
Publicado: (2022) -
Transfer Learning for Image-Based Malware Detection for IoT
por: Panda, Pratyush, et al.
Publicado: (2023) -
IoT malware: An attribute-based taxonomy, detection mechanisms and challenges
por: Victor, Princy, et al.
Publicado: (2023) -
Adversarial Samples on Android Malware Detection Systems for IoT Systems
por: Liu, Xiaolei, et al.
Publicado: (2019) -
Feature Subset Selection for Malware Detection in Smart IoT Platforms
por: Abawajy, Jemal, et al.
Publicado: (2021)