Resumen
Currently, the software handled by hackers is the main one to tackle a series of empirical knowledge, with this software attacking and helping organizations. The main objective is to analyze and systematize the software that is detected by hackers and crackers, in order to prevent risks and study the tactical levels and strategies for a given process. The analytical method is used in this investigation, for the study or analysis of the offensive software structure in public organizations. The results obtained from this research were an attack launching algorithm, software prototype taken by hackers, massive obfuscation model, and quantitative encryption model. It was concluded that piracy tools are used for preventive prevention and systems aggression, that is, to be defensive or offensive for a period, throughout an attack cycle.
| Idioma original | Inglés |
|---|---|
| Título de la publicación alojada | Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020 |
| Editores | Antonio J. Tallon-Ballesteros, Chi-Hua Chen |
| Editorial | IOS Press BV |
| Páginas | 107-114 |
| Número de páginas | 8 |
| ISBN (versión digital) | 9781643681368 |
| DOI | |
| Estado | Publicada - 2 dic. 2020 |
| Evento | 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 - Virtual, Online, República de Corea Duración: 25 oct. 2020 → 28 oct. 2020 |
Serie de la publicación
| Nombre | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volumen | 332 |
| ISSN (versión impresa) | 0922-6389 |
| ISSN (versión digital) | 1879-8314 |
Conferencia
| Conferencia | 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 |
|---|---|
| País/Territorio | República de Corea |
| Ciudad | Virtual, Online |
| Período | 25/10/20 → 28/10/20 |
Nota bibliográfica
Publisher Copyright:© 2020 The authors and IOS Press.
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