Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Machine Learning and Artificial Intelligence - Proceedings of MLIS 2020 |
| Editors | Antonio J. Tallon-Ballesteros, Chi-Hua Chen |
| Publisher | IOS Press BV |
| Pages | 107-114 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781643681368 |
| DOIs | |
| State | Published - 2 Dec 2020 |
| Event | 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 - Virtual, Online, Korea, Republic of Duration: 25 Oct 2020 → 28 Oct 2020 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Volume | 332 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Conference
| Conference | 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Virtual, Online |
| Period | 25/10/20 → 28/10/20 |
Bibliographical note
Publisher Copyright:© 2020 The authors and IOS Press.
Keywords
- Hacker
- Hacking
- Hacking tools
- Malicious program
- Public organizations
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