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Deployable Machine Learning for Security Defense

Deployable Machine Learning for Security Defense

by Gang Wang, Arridhana Ciptadi and Ali Ahmadzadeh
Epub (Kobo), Epub (Adobe)
Publication Date: 26/10/2021
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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.

ISBN:
9783030878399
9783030878399
Category:
Information technology: general issues
Format:
Epub (Kobo), Epub (Adobe)
Publication Date:
26-10-2021
Language:
English
Publisher:
Springer International Publishing

This item is delivered digitally

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Network security Machine learning Integrated software packages Computing & information technology Computer security Information technology: general issues Enterprise software Artificial intelligence Business applications Computer networking & communications Network hardware Probability & statistics
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