NETWORK INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING : INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING

Language: English

Published by LAP LAMBERT Academic Publishing, 2026

6630539397 / 9786630539394

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.…

Seller Inventory # 9786630539394

Title
NETWORK INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING : INVESTIGATION OF CYBER THREAT USING MACHINE LEARNING
Author
Saswati Chatterjee
Publisher
LAP LAMBERT Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6630539397
ISBN 13
9786630539394
Item weight
316 grams
Dimensions
220x150x12 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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