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: | 9783030878382 |
| Publication date: | 25th September 2021 |
| Author: | Gang Wang |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 157 pages |
| Series: | Communications in Computer and Information Science |
| Genres: |
Machine learning Computer security Computer applications in the social and behavioural sciences Network security Information retrieval Internet searching Network hardware |
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.
Deployable Machine Learning for Security Defense features in the following genres: Machine learning, Computer security, Computer applications in the social and behavioural sciences, Network security, Information retrieval, Internet searching, Network hardware
Deployable Machine Learning for Security Defense is available in Paperback
Deployable Machine Learning for Security Defense was written by Gang Wang and published by Springer Nature Switzerland AG
Deployable Machine Learning for Security Defense has 157 pages
Yes it is part of Communications in Computer and Information Science series
£49.49