Deployable Machine Learning for Security Defense [electronic resource] : Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings /

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Material type: Text

TextSeries: Communications in Computer and Information Science ; 1482Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021Description: VII, 157 p. 42 illus., 32 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783030878399

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

004 23

LOC classification:

QA75.5-76.95

Online resources:

Click here to access online

In: Springer Nature eBookSummary: This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

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This book constitutes selected and extended papers from the Second International Workshop on Deployable Machine Learning for Security Defense, MLHat 2021, held in August 2021. Due to the COVID-19 pandemic the conference was held online. The 6 full papers were thoroughly reviewed and selected from 7 qualified submissions. The papers are organized in topical sections on machine learning for security, and malware attack and defense.

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