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Network Intrusion Detection using Deep Learning: A Feature Learning Approach - SpringerBriefs on Cyber Security Systems and Networks 1st ed. 2018 edition
Kwangjo Kim
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Network Intrusion Detection using Deep Learning: A Feature Learning Approach - SpringerBriefs on Cyber Security Systems and Networks 1st ed. 2018 edition
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 | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 2. oktober 2018 |
| ISBN13 | 9789811314438 |
| Utgivere | Springer Verlag, Singapore |
| Antall sider | 79 |
| Mål | 234 × 156 × 11 mm · 166 g |
![Cover for Kwangjo Kim · Privacy-Preserving Deep Learning: A Comprehensive Survey - SpringerBriefs on Cyber Security Systems and Networks (Pocketbok) [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-pocketbok&class=scaled&v=1624689534)
