Cargando…
Manipulation and Malicious Personalization: Exploring the Self-Disclosure Biases Exploited by Deceptive Attackers on Social Media
In the real world, the disclosure of private information to others often occurs after a trustworthy relationship has been established. Conversely, users of Social Network Sites (SNSs) like Facebook or Instagram often disclose large amounts of personal information prematurely to individuals which are...
Autores principales: | Aïmeur, Esma, Díaz Ferreyra, Nicolás, Hage, Hicham |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861322/ https://www.ncbi.nlm.nih.gov/pubmed/33733115 http://dx.doi.org/10.3389/frai.2019.00026 |
Ejemplares similares
-
AndroAnalyzer: android malicious software detection based on deep learning
por: Arslan, Recep Sinan
Publicado: (2021) -
The evolution of deception
por: Sarkadi, Ştefan, et al.
Publicado: (2021) -
Deepfake attack prevention using steganography GANs
por: Noreen, Iram, et al.
Publicado: (2022) -
Derivative-free optimization adversarial attacks for graph convolutional networks
por: Yang, Runze, et al.
Publicado: (2021) -
MagNet: Detecting Digital Presentation Attacks on Face Recognition
por: Agarwal, Akshay, et al.
Publicado: (2021)