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Network Intrusion Detection using Deep Learning: A Feature Learning Approach - SpringerBriefs on Cyber Security Systems and Networks Kwangjo Kim 2018 edition
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Network Intrusion Detection using Deep Learning: A Feature Learning Approach - SpringerBriefs on Cyber Security Systems and Networks
Kwangjo Kim
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods.
79 pages, 12 Tables, color; 11 Illustrations, color; 19 Illustrations, black and white; XVII, 79 p.
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 2 oktober 2018 |
| ISBN13 | 9789811314438 |
| Uitgevers | Springer Verlag, Singapore |
| Pagina's | 79 |
| Afmetingen | 234 × 156 × 11 mm · 170 g |
![Cover for Kwangjo Kim · Privacy-Preserving Deep Learning: A Comprehensive Survey - SpringerBriefs on Cyber Security Systems and Networks (Paperback Book) [2021 edition] (2021)](https://imusic.b-cdn.net/images/item/original/636/9789811637636.jpg?kwangjo-kim-2021-privacy-preserving-deep-learning-a-comprehensive-survey-springerbriefs-on-cyber-security-systems-and-networks-paperback-book&class=scaled&v=1624689534)
