A Survey of Privacy Vulnerabilities of Mobile Devic
The number of mobile devices,suchas smartphones and smartwatches, is relentlessly increasing, toal most 6.8 billion by 2022, and along withit, the amount of personal and sensitive data captured by them.This survey overviews the state of the art of what personal and sensitive user attributes can be e...
| Autores: | , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/711459 |
| Acceso en línea: | http://hdl.handle.net/10486/711459 https://dx.doi.org/10.1145/3510579 |
| Access Level: | acceso abierto |
| Palabra clave: | Security and privacy Privacy-preserving protocols Human and societal aspects of security and privacy Privacy protections Background sensors mobile devices sensitive data privacy data protection Telecomunicaciones |
| Sumario: | The number of mobile devices,suchas smartphones and smartwatches, is relentlessly increasing, toal most 6.8 billion by 2022, and along withit, the amount of personal and sensitive data captured by them.This survey overviews the state of the art of what personal and sensitive user attributes can be extracted from mobile device sensors,emphasizing critical aspects suchas demographics,health and body features,activity and behavior recognition, and so forth. Inaddition, were view popular metrics in the literature to quantify the degree of privacy and discuss powerful privacy methods to protect the sensitive data while preserving data utility for analysis.Finally, open research questions a represented for further advancements in the field |
|---|