dabble
发表于 2025-3-21 18:42:31
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不可侵犯
发表于 2025-3-21 22:26:25
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overhaul
发表于 2025-3-22 00:36:27
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北极熊
发表于 2025-3-22 04:49:33
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绝种
发表于 2025-3-22 10:08:56
Improving Cyber-Threat Detection by Moving the Boundary Around the Normal Samplesdetection models in various scenarios. However, it often suffers from training data over-fitting. In this paper, we propose a supervised machine learning method for cyber-threat detection, which modifies the training set to reduce data over-fitting when training a deep neural network. This is done b
Externalize
发表于 2025-3-22 13:38:15
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NOVA
发表于 2025-3-22 17:27:16
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婴儿
发表于 2025-3-22 22:48:59
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Expediency
发表于 2025-3-23 02:08:34
IntAnti-Phish: An Intelligent Anti-Phishing Framework Using Backpropagation Neural Network the field of cybersecurity. Many researchers have already proposed several anti-phishing approaches to detect phishing in terms of email, webpages, images, or links. This study also aimed to propose and implement an intelligent framework to detect phishing URLs (Uniform Resource Locator). It has be
prostatitis
发表于 2025-3-23 07:18:11
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