背景 发表于 2025-3-25 06:27:22
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Engaging, Energizing, and Empowering Faculty benefit from capabilities offered by convolutional neural networks, such as dimensionality reduction and the inherent ability to reduce the trace desynchronization effects. These neural networks contain at least three types of layers: convolutional, pooling, and dense layers. Although the definitio蒸发 发表于 2025-3-25 15:53:05
Taking the Lead to Promote Innovationvestigates the application of deep learning techniques for this purpose. Deep learning significantly increases detection performance, and can abolish the need for expert knowledge-intensive feature extraction. The use of deep learning for network intrusion detection also has a major disadvantage, ho果核 发表于 2025-3-25 22:29:09
Mackenzie Bristow,Elizabeth F. Soppelsaned model leads to not only the infringement of intellectual property but also various attacks such as adversarial example attacks. Recent works have proposed several methods using trusted execution environments (TEEs), which provide an isolated environment that cannot be manipulated by malicious soCERE 发表于 2025-3-26 02:25:47
https://doi.org/10.1007/978-1-349-22297-1dies against the threat. At the algorithm-level, the two most popular public-key cryptosystems, RSA and ECC, are vulnerable to quantum cryptanalysis using Shor’s algorithm, while symmetric key and hash-based cryptosystems are weakened by Grover’s algorithm. Less is understood at the implementation l僵硬 发表于 2025-3-26 07:31:29
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http://reply.papertrans.cn/16/1598/159755/159755_28.png急急忙忙 发表于 2025-3-26 16:07:52
Lili Cavalheiro,Luis Guerra,Ricardo PereiraA digitized facility needs the possibility of communication between distributed nodes, e.g. to react to events or to provide useful information to adjust the production process. However, processes of communication can be misused by attackers. Security holes in different information systems can be fopatriarch 发表于 2025-3-26 17:36:22
Karin Richter,Andreas Weissenbäckusceptible towards faults and physical attacks. In this context, we discuss recently proposed Manipulation-of-Demand via IoT attack, False Data Injection Attacks and Electric Fault Attacks. These attacks directly or indirectly can lead to localized blackout, falsified load forecasting, imbalance in