急急忙忙 发表于 2025-3-23 09:58:28

978-3-030-38790-7Springer Nature Switzerland AG 2020

RAG 发表于 2025-3-23 15:10:53

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GEM 发表于 2025-3-23 18:42:41

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巧办法 发表于 2025-3-23 22:30:01

The Formal Representation of Cyberthreats for Automated Reasoning,ncident response, and comprehensive and automated data analysis. This chapter reviews the most influential and widely deployed cyberthreat classification models, machine-readable taxonomies, and machine-interpretable ontologies that are well-utilized in cyberthreat intelligence applications.

SLUMP 发表于 2025-3-24 04:11:00

Seven Pitfalls of Using Data Science in Cybersecurity,results provided by a machine learning algorithm. There is some evidence to suggest that algorithm choice is not a discriminator. In particular, we explore the importance of feature set selection and evaluate the inherent problems in relying on synthetic data.

febrile 发表于 2025-3-24 06:55:09

Book 2020oning to detect attacks on communication networks, including IoT infrastructures, to automate malicious code detection, to efficiently predict cyberattacks in enterprises, to identify malicious URLs and DGA-generated domain names, and to improve the security of mHealth wearables. This book details h

Homocystinuria 发表于 2025-3-24 12:45:51

Discovering Malicious URLs Using Machine Learning Techniques,urce Locators (URLs) as an example dataset, with a method that automatically detects malicious URLs by leveraging machine learning techniques. We demonstrate the effectiveness of the method through performance evaluations.

确定无疑 发表于 2025-3-24 17:25:42

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领带 发表于 2025-3-24 19:55:11

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LINE 发表于 2025-3-25 02:12:54

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查看完整版本: Titlebook: Data Science in Cybersecurity and Cyberthreat Intelligence; Leslie F. Sikos,Kim-Kwang Raymond Choo Book 2020 Springer Nature Switzerland A