Cargando…
Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications
The web application market has shown rapid growth in recent years. The expansion of Wireless Sensor Networks (WSNs) and the Internet of Things (IoT) has created new web-based communication and sensing frameworks. Current security research utilizes source code analysis and manual exploitation of web...
Autores principales: | Chowdhary, Ankur, Jha, Kritshekhar, Zhao, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10534908/ https://www.ncbi.nlm.nih.gov/pubmed/37766067 http://dx.doi.org/10.3390/s23188014 |
Ejemplares similares
-
Application of Generative Adversarial Networks (GANs) to jet images
por: Paganini, Michela
Publicado: (2017) -
Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
por: You, Aram, et al.
Publicado: (2022) -
Generic image application using GANs (Generative Adversarial Networks): A Review
por: Porkodi, S. P., et al.
Publicado: (2022) -
Seminar: Open challenges for improving Generative Adversarial Networks (GANs)
por: Goodfellow, Ian
Publicado: (2017) -
MB-GAN: Microbiome Simulation via Generative Adversarial Network
por: Rong, Ruichen, et al.
Publicado: (2021)