Flu表流动
发表于 2025-3-25 04:58:15
Deployable Machine Learning for Security Defense978-3-030-59621-7Series ISSN 1865-0929 Series E-ISSN 1865-0937
钱财
发表于 2025-3-25 08:27:07
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种植,培养
发表于 2025-3-25 15:11:51
978-3-030-59620-0Springer Nature Switzerland AG 2020
condescend
发表于 2025-3-25 19:40:32
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储备
发表于 2025-3-26 00:02:43
MALOnt: An Ontology for Malware Threat Intelligencen different platforms from scattered threat sources. This collective information can guide decision making in cyber defense applications utilized by security operation centers. In this paper, we introduce an open-source malware ontology, MALOnt that allows the structured extraction of information an
可行
发表于 2025-3-26 03:54:44
: Adaptable Fraud Detection in the Real Worlding:.How suspicious is ‘Smith’, trying to buy $500 shoes, on Monday 3am? How to merge the risk scores, from a handful of risk-assessment modules (‘oracles’) in an adversarial environment? More importantly, given historical data (orders, prices, and what-happened afterwards), and business goals/restr
凶兆
发表于 2025-3-26 06:35:12
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多余
发表于 2025-3-26 08:50:04
Domain Generation Algorithm Detection Utilizing Model Hardening Through GAN-Generated Adversarial Exf hardcoding the address of the C&C domain in the malware, DGAs are used to frequently change the address of the C&C server, causing static detection methods, such as blacklists, to be ineffective. In response, DGA detection methods have been proposed which attempt to detect these DGA-produced domai
goodwill
发表于 2025-3-26 13:24:27
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态度暖昧
发表于 2025-3-26 18:55:58
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