急急忙忙 发表于 2025-3-23 09:58:28
978-3-030-38790-7Springer Nature Switzerland AG 2020RAG 发表于 2025-3-23 15:10:53
http://reply.papertrans.cn/27/2632/263126/263126_12.pngGEM 发表于 2025-3-23 18:42:41
http://reply.papertrans.cn/27/2632/263126/263126_13.png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 hHomocystinuria 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
http://reply.papertrans.cn/27/2632/263126/263126_18.png领带 发表于 2025-3-24 19:55:11
http://reply.papertrans.cn/27/2632/263126/263126_19.pngLINE 发表于 2025-3-25 02:12:54
http://reply.papertrans.cn/27/2632/263126/263126_20.png