In the context of increasingly complex cyber threats, there is an urgent need for innovative approaches capableof effectively identifying and mitigating potential risks. Neural networks offer a promising solution to these challengesthrough their risk detection and prediction capabilities. This research explores various neural network architectures andtheir applications in identifying and mitigating potential security breaches. Neural network-based systems significantlyimprove the resilience of defense tools against cyberattacks and provide robust protection for critical information assets.
| Mualliflar | Babayazov , Saidbek, Sultamuratova, Dilnoza |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-06-01 |
| Jild | 2 |
| Son | 6 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.20780950 |
DOI: 10.5281/zenodo.20780950 · Maqolaning asl sahifasi
defense object, neural networks, information security, artificial immune system, Bayesian network
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