| Title | Research on Network Confrontation Information Security Protection System under Computer Deep Learning |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Wang, Man |
| Conference Name | 2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA) |
| Keywords | Adaptation models, Collaboration, composability, compositionality, Computational modeling, computer, computer theory, Data Science, Deep Learning, Human Behavior, Information security, Metrics, network confrontation, object detection, policy governance, pubcrawl, resilience, Resiliency, security, Training |
| Abstract | Aiming at the single hopping strategy in the terminal information hopping active defense technology, a variety of heterogeneous hopping modes are introduced into the terminal information hopping system, the definition of the terminal information is expanded, and the adaptive adjustment of the hopping strategy is given. A network adversarial training simulation system is researched and designed, and related subsystems are discussed from the perspective of key technologies and their implementation, including interactive adversarial training simulation system, adversarial training simulation support software system, adversarial training simulation evaluation system and adversarial training Mock Repository. The system can provide a good environment for network confrontation theory research and network confrontation training simulation, which is of great significance. |
| DOI | 10.1109/ICDSCA56264.2022.9988655 |
| Citation Key | wang_research_2022 |
Research on Network Confrontation Information Security Protection System under Computer Deep Learning