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

急急忙忙

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

RAG

GEM

巧辦法

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

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

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

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.

確定無疑

領帶

LINE