Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206739449 ISBN 13: 9786206739449
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Idioma: Inglés
Publicado por Our Knowledge Publishing, 2023
ISBN 10: 6205985713 ISBN 13: 9786205985717
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208440211 ISBN 13: 9786208440213
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2018
ISBN 10: 9811314438 ISBN 13: 9789811314438
Librería: Revaluation Books, Exeter, Reino Unido
EUR 90,28
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Añadir al carritoPaperback. Condición: Brand New. 100 pages. 9.25x6.25x0.25 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6200468168 ISBN 13: 9786200468161
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206739449 ISBN 13: 9786206739449
Librería: preigu, Osnabrück, Alemania
EUR 39,35
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Añadir al carritoTaschenbuch. Condición: Neu. Deep Learning Based Intrusion Detection Framework in Industrial IoT | Raghavender K V (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206739449 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 113,66
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Idioma: Inglés
Publicado por Our Knowledge Publishing, 2023
ISBN 10: 6205985713 ISBN 13: 9786205985717
Librería: preigu, Osnabrück, Alemania
EUR 53,25
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Añadir al carritoTaschenbuch. Condición: Neu. Intrusion Detection System based on deep learning | Junior Momo Ziazet | Taschenbuch | Englisch | 2023 | Our Knowledge Publishing | EAN 9786205985717 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: preigu, Osnabrück, Alemania
EUR 59,30
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Añadir al carritoTaschenbuch. Condición: Neu. Network Intrusion Detection using Deep Learning | A Feature Learning Approach | Kwangjo Kim (u. a.) | Taschenbuch | SpringerBriefs on Cyber Security Systems and Networks | xvii | Englisch | 2018 | Springer | EAN 9789811314438 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 69,27
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Idioma: Inglés
Publicado por John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394285167 ISBN 13: 9781394285167
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 135,65
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Añadir al carritoHardcover. Condición: new. Hardcover. Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networks Deep Learning for Intrusion Detection provides a practical guide to understand the challenges of intrusion detection in various application areas and how deep learning can be applied to address those challenges. It begins by discussing the basic concepts of intrusion detection systems (IDS) and various deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs). Later chapters cover timely topics including network communication between vehicles and unmanned aerial vehicles. The book closes by discussing security and intrusion issues associated with lightweight IoTs, MQTT networks, and Zero-Day attacks. The book presents real-world examples and case studies to highlight practical applications, along with contributions from leading experts who bring rich experience in both theory and practice. Deep Learning for Intrusion Detection includes information on: Types of datasets commonly used in intrusion detection research including network traffic datasets, system call datasets, and simulated datasets The importance of feature extraction and selection in improving the accuracy and efficiency of intrusion detection systems Security challenges associated with cloud computing, including unauthorized access, data loss, and other malicious activities Mobile Adhoc Networks (MANETs) and their significant security concerns due to high mobility and the absence of a centralized authority Deep Learning for Intrusion Detection is an excellent reference on the subject for computer science researchers, practitioners, and students as well as engineers and professionals working in cybersecurity. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208440211 ISBN 13: 9786208440213
Librería: preigu, Osnabrück, Alemania
EUR 67,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Optimized Deep Learning for Network Intrusion Detection | Bhushan Deore | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208440213 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por John Wiley and Sons Inc, US, 2025
ISBN 10: 1394285167 ISBN 13: 9781394285167
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 142,36
Cantidad disponible: 1 disponibles
Añadir al carritoHardback. Condición: New. Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networks Deep Learning for Intrusion Detection provides a practical guide to understand the challenges of intrusion detection in various application areas and how deep learning can be applied to address those challenges. It begins by discussing the basic concepts of intrusion detection systems (IDS) and various deep learning techniques such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and deep belief networks (DBNs). Later chapters cover timely topics including network communication between vehicles and unmanned aerial vehicles. The book closes by discussing security and intrusion issues associated with lightweight IoTs, MQTT networks, and Zero-Day attacks. The book presents real-world examples and case studies to highlight practical applications, along with contributions from leading experts who bring rich experience in both theory and practice. Deep Learning for Intrusion Detection includes information on: Types of datasets commonly used in intrusion detection research including network traffic datasets, system call datasets, and simulated datasets The importance of feature extraction and selection in improving the accuracy and efficiency of intrusion detection systems Security challenges associated with cloud computing, including unauthorized access, data loss, and other malicious activities Mobile Adhoc Networks (MANETs) and their significant security concerns due to high mobility and the absence of a centralized authority Deep Learning for Intrusion Detection is an excellent reference on the subject for computer science researchers, practitioners, and students as well as engineers and professionals working in cybersecurity.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 125,09
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6205527960 ISBN 13: 9786205527962
Librería: preigu, Osnabrück, Alemania
EUR 67,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Deep Learning | Deep Learning Approaches for Intrusion Detection and Attack Severity Classification in IOT Network | Bhukya Madhu (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205527962 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206158853 ISBN 13: 9786206158851
Librería: preigu, Osnabrück, Alemania
EUR 70,95
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Intrusion Detection | Map Reduce Based Deep Learning In Big Data Environment | Gunavathi Ramasamy (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206158851 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.