Deployable Machine Learning for Security Defense (eBook, PDF)

Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings
Redaktion: Wang, Gang; Ahmadzadeh, Ali; Ciptadi, Arridhana

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 157
• Erscheinungstermin: 24. September 2021
• Englisch
• ISBN-13: 9783030878399
• Artikelnr.: 62632451

Inhaltsangabe

Machine Learning for Security.- Malware Attack and Defense.