Szczegóły publikacji
Opis bibliograficzny
Dynamic telemetry and deep neural networks for anomaly detection in 6G software-defined networks / Grzegorz RZYM, Amadeusz Masny, Piotr CHOŁDA // Electronics [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2079-9292. — 2024 — vol. 13 iss. 2 art. no. 382, s. 1–16. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 15–16, Abstr. — Publikacja dostępna online od: 2024-01-17
Autorzy (3)
- AGHRzym Grzegorz
- Masny Amadeusz
- AGHChołda Piotr
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 151560 |
|---|---|
| Data dodania do BaDAP | 2024-03-04 |
| Tekst źródłowy | URL |
| DOI | 10.3390/electronics13020382 |
| Rok publikacji | 2024 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Electronics |
Abstract
With the increasing availability of computational power, contemporary machine learning has undergone a paradigm shift, placing a heightened emphasis on deep learning methodologies. The pervasive automation of various processes necessitates a critical re-evaluation of contemporary network implementations, specifically concerning security protocols and the imperative need for swift, precise responses to system failures. This article introduces a meticulously crafted solution designed explicitly for 6G software-defined networks (SDNs). The approach employs deep neural networks for anomaly detection within network traffic, contributing to a more robust security framework. Furthermore, the paper delves into the realm of network monitoring automation by harnessing dynamic telemetry, providing a specialized and forward-looking strategy to tackle the distinctive challenges inherent in SDN environments. In essence, our proposed solution aims to elevate the security and responsiveness of 6G mobile networks. By addressing the intricate challenges posed by next-generation network architectures, it seeks to fortify these networks against emerging threats and dynamically adapt to the evolving landscape of next-generation technology.