| Revue: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560544 |
| ISSN: | 1405-5546 |
| Autores: | Nicolás Sayago, Abigail1 Sánchez Valencia, Sergio Gabriel1 Kolesnikova, Olga1 |
| Instituciones: | 1Instituto Politécnico Nacional, Escuela Superior de Cómputo, México |
| Año: | 2020 |
| Periodo: | Oct-Dic |
| Volumen: | 24 |
| Número: | 4 |
| Paginación: | 1581-1588 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | Nowadays online communication services have obtained a stronger impact in our world. Some companies that provide communication services take advantage of them to create user profiles, which they further use to send undesired advertisements (Ads), or spam, to their users. This article explores several methods, developed based on different areas of knowledge including natural language processing, steganography, cryptography, which can help a user to avoid being profiled while sending and receiving texts over the internet. |
| Disciplinas: | Ciencias de la computación |
| Palabras clave: | Inteligencia artificial |
| Keyword: | User profiling, Natural language processing, Cryptography, Steganography, Security, Artificial intelligence |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
