Next-Generation Cyber Defense : Deep Learning Approaches for Intrusion Detection and Prevention

Lingua: inglese

Editore: Eliva Press, 2026

9999347649 / 9789999347648

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Condizione: Nuovo

EUR 55,41

EUR 35,00 spedizione 
Spedito da Germania a U.S.A.

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Descrizione dell’articolo da parte del venditore

nach der Bestellung gedruckt Neuware - Printed after ordering - Cybersecurity has become one of the most critical challenges of the digital era, with the rapid growth of cloud computing, the Internet of Things (IoT), Industrial IoT (IIoT), and interconnected smart systems. Traditional intrusion detection methods struggle to identify sophisticated and previously unseen cyberattacks, creating a pressing need for intelligent, adaptive, and real-time security solutions. Next-Generation Cyber Defense: Deep Learning Approaches for Intrusion Detection and Prevention presents advanced artificial intelligence techniques for designing highly effective Intrusion Detection and Prevention Systems (IDPS). The book introduces two novel frameworks: the DCNN-BiGRU hybrid deep learning model, which combines Deep Convolutional Neural Networks with Bidirectional Gated Recurrent Units for accurate multiclass attack detection, and the Leading Ensemble Decision Classifier Module (LEDCM), an innovative online ensemble framework that enhances prediction accuracy through dynamic class-wise leader selection. These models achieve outstanding performance on benchmark cybersecurity datasets, demonstrating their effectiveness in detecting both known and emerging cyber threats. The book provides a comprehensive overview of intrusion detection systems, machine learning and deep learning techniques, ensemble learning, feature engineering, data preprocessing, performance evaluation, and real-world implementation using benchmark datasets. It bridges theoretical concepts with practical methodologies, enabling readers to understand, design, and deploy intelligent cyber defense systems for modern network environments. In addition, it explores emerging research directions such as explainable AI, federated learning, adversarial robustness, and edge-based intrusion detection, offering valuable insights into the future of cybersecurity. Designed for researchers, postgraduate students, cybersecurity professionals, and AI practitioners, this book serves as both an academic reference and a practical guide. By integrating cutting-edge deep learning architectures with robust ensemble techniques, it provides scalable and reliable solutions for protecting next-generation.…

Codice articolo 9789999347648

Titolo
Next-Generation Cyber Defense : Deep Learning Approaches for Intrusion Detection and Prevention
Autore
Dheeraj Namdev
Editore
Eliva Press
Anno di pubblicazione
2026
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
9999347649
ISBN 13
9789999347648
Peso dell'articolo
111 grammi
Dimensioni
229x152x4 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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