AI-Driven Network Security and Privacy

The security technology of new information technologies in scenarios such as smart life, smart cities, smart networks, etc., and the promotion and enhancement of the development of network security are mainly included here. New-generation network attacks and defense technology, new secure cryptograp...

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Detalhes bibliográficos
Formato:	Online
Idioma:	inglês
Publicado em:	MDPI - Multidisciplinary Digital Publishing Institute 2025
Assuntos:	hybrid feature network intrusion detection session feature packet feature two-stage LSTM autonomous mobile robot conditional generative adversarial network depth map prediction intelligent manufacturing audio steganography coverless steganography GAN covert communication information hiding adversarial examples black-box attacks transferability deep neural networks NDN access control authorization data sharing stateful detection adversarial defence artificial intelligence security privacy protection UAVs target tracking interframe fusion trajectory confidence remote sensing image object detection vanishing attack few-shot learning face recognition pose variations hypergraph evasion attack malware detection deepfake datasets correlation traceability clustering Calinski Harabasz sentiment analysis BERT long short-term memory convolutional neural network key–value store LSM-tree hash indexing hot-awareness KV separation intrusion detection deep learning industry Internet residual connection object detection UAV security surveillance feature pyramid network attention mechanism network security event extraction APT event BERT-BiGRU-CRF smart home privacy traffic obfuscation traffic fingerprint AI security adversarial robustness evaluation adversarial attack deep model Internet of Things cloud computing verifiable searchable symmetric encryption public key cryptosystem domain generation algorithms machine learning statistical learning heterogeneous models malware classification malware family parallel processing microsoft kaggle malware dataset industrial control systems Wasserstein generative adversarial network opcode slice active learning ensemble learning n/a thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Acesso em linha:	ONIX_20250220_9783725831166_539
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ONIX_20250220_9783725831166_539

AI-Driven Network Security and Privacy

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