ISBN: 9786630539394 - network investigation of cyber threat using machine learning (7 resultados)

Condición: New.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 200 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Network security has become increasingly important with the rapid expansion of interconnected digital systems and the growing sophistication of cyber threats. Among the major network-based threats, Distributed Denial of Service (DDoS), Man-in-the-Middle (MITM), and Address Resolution Protocol (ARP) spoofing attacks pose significant risks to data confidentiality, system availability, and secure communication. The dynamic nature of these attacks presents considerable challenges to conventional security mechanisms, which often rely on predefined rules and signatures. To address these limitations, this research investigates the application of machine learning techniques for intelligent network threat detection. The study focuses on identifying anomalous network behavior, distinguishing legitimate traffic from malicious activities, and improving the reliability and accuracy of cyber threat detection. The proposed machine learning-driven approach aims to strengthen intrusion detection capabilities and support more adaptive and effective network security mechanisms against evolving cyber threats. …

Taschenbuch. Condición: Neu. NETWORK INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING | INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING | Saswati Chatterjee | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630539394 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Network security has become increasingly important with the rapid expansion of interconnected digital systems and the growing sophistication of cyber threats. Among the major network-based threats, Distributed Denial of Service (DDoS), Man-in-the-Middle (MITM), and Address Resolution Protocol (ARP) spoofing attacks pose significant risks to data confidentiality, system availability, and secure communication. The dynamic nature of these attacks presents considerable challenges to conventional security mechanisms, which often rely on predefined rules and signatures. To address these limitations, this research investigates the application of machine learning techniques for intelligent network threat detection. The study focuses on identifying anomalous network behavior, distinguishing legitimate traffic from malicious activities, and improving the reliability and accuracy of cyber threat detection. The proposed machine learning-driven approach aims to strengthen intrusion detection capabilities and support more adaptive and effective network security mechanisms against evolving cyber threats. 200 pp. Englisch. …