Network Security Management in Heterogeneous Networks

Heterogeneous networks, as a critical component of modern communication technology, have experienced rapid development in recent years. The emergence of technologies like 5G, the Internet of Things (IoT), and edge computing has significantly enhanced the diversity and complexity of heterogeneous net...

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Médium:	Online
Jazyk:	angličtina
Vydáno:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Témata:	scrap steel detection federated learning data heterogeneity network security networks community detection structure entropy community structure information modularity large language models efficient inference offloading mixture-of-experts Internet of Medical Things IoV differential privacy P2P secure forecasting nationwide industry PM2.5 heterogeneous network LLM edge computing security risks of data leakage multi-objective optimization multipath transmission privacy protection security reliability task offloading deep reinforcement learning mobile edge computing multimodal learning intelligent connected vehicle Byzantine-robust federated learning low-light image enhancement Retinex theory attention mechanism unsupervised learning electricity market operators secure energy trading Stackelberg game pruning techniques drug repositioning prototype subcategory exploration graph neural network electric vehicles mobile charging stations charger sharing blockchain Graph Convolutional Network entity relation extraction Deepfake detection face swapping proactive forensics robust watermarking image hashing pseudo-Zernike transform n/a clustered federated learning principal component analysis thema EDItEUR::A The Arts::AT Performing arts::ATF Films, cinema thema EDItEUR::A The Arts::AT Performing arts::ATJ Television
On-line přístup:	ONIX_20250812T095121_9783725833184_119
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	Heterogeneous networks, as a critical component of modern communication technology, have experienced rapid development in recent years. The emergence of technologies like 5G, the Internet of Things (IoT), and edge computing has significantly enhanced the diversity and complexity of heterogeneous networks, making them pivotal for diverse application demands. However, the openness and diverse characteristics of heterogeneous networks expose them to serious security challenges. Such networks are vulnerable to attacks like Distributed Denial-of-Service (DDoS) attacks, malware propagation, and jamming attacks, posing significant risks to system stability and data privacy. To address these pressing security challenges, researchers have developed a variety of defense strategies aimed at mitigating risks in heterogeneous networks. Compared to traditional approaches, these strategies exhibit several distinct advantages, such as the ability to efficiently handle large amounts of data while ensuring data security, flexibility in tackling various security challenges, and resilience against advanced and persistent cyberattacks. These approaches provide significant theoretical and practical support for improving the security of heterogeneous networks.

Network Security Management in Heterogeneous Networks

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