This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions.
The papers are organized in the following topical sections:
| ISBN: | 9783030596200 |
| Publication date: | 18th October 2020 |
| Author: | Gang Wang |
| Publisher: | Springer Nature Switzerland AG |
| Format: | Paperback |
| Pagination: | 165 pages |
| Series: | Communications in Computer and Information Science |
| Genres: |
Information technology: general topics Computer security Network security Computer fraud and hacking Artificial intelligence Network hardware Applied computing |
This book constitutes selected papers from the First International Workshop on Deployable Machine Learning for Security Defense, MLHat 2020, held in August 2020. Due to the COVID-19 pandemic the conference was held online. The 8 full papers were thoroughly reviewed and selected from 13 qualified submissions.
Deployable Machine Learning for Security Defense features in the following genres: Information technology: general topics, Computer security, Network security, Computer fraud and hacking, Artificial intelligence, Network hardware, Applied computing
Paperback. £58.49, down from the £64.99 cover price. Not Available.
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 165 pages
Yes it is part of Communications in Computer and Information Science series
£58.49, reduced from £64.99. Not Available.