Network Intrusion Detection using Deep Learning
Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja
Informasi Umum
Kode
21.21.1537
Klasifikasi
005.8 - Data Security
Jenis
Buku - Elektronik (E-Book)
Subjek
Computer Security
No. Rak
Dilihat
177 kali
Informasi Lainnya
Abstraksi
This book presents recent advances in intrusion detection systems (IDSs) using state-of-the-art deep learning methods. It also provides a systematic overview of classical machine learning and the latest developments in deep learning. In particular, it discusses deep learning applications in IDSs in different classes: generative, discriminative, and adversarial networks. Moreover, it compares various deep learning-based IDSs based on benchmarking datasets. The book also proposes two novel feature learning models: deep feature extraction and selection (D-FES) and fully unsupervised IDS. Further challenges and research directions are presented at the end of the book.
Offering a comprehensive overview of deep learning-based IDS, the book is a valuable reerence resource for undergraduate and graduate students, as well as researchers and practitioners interested in deep learning and intrusion detection. Further, the comparison of various deep-learning applications helps readers gain a basic understanding of machine learning, and inspires applications in IDS and other related areas in cybersecurity.
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | Kwangjo Kim, Muhamad Erza Aminanto, Harry Chandra Tanuwidjaja |
| Jenis | Perorangan |
| Penyunting | |
| Penerjemah |
Penerbit
| Nama | Springer International Publishing |
| Kota | New York |
| Tahun | 2018 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
