Anomaly Detection in Wireless Selective Forwarding in Cyber Security

Idioma: inglés

Editorial: Indy Pub Jul 2026, 2026

9798256208103

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.

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Vendedor de IberLibro desde 11 de enero de 2012

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Descripción del artículo del vendedor

This item is printed on demand - it takes 3-4 days longer - Neuware -The rapid growth of wireless communication technologies, wireless sensor networks (WSNs), Internet of Things (IoT) devices, and cyber-physical systems has created new opportunities for digital transformation while simultaneously introducing sophisticated cybersecurity challenges. Among the most difficult attacks to detect in wireless networks is the selective forwarding attack, where compromised nodes intentionally forward some packets while silently dropping others. Because malicious nodes continue to behave normally for most network traffic, these attacks are difficult to identify using conventional security mechanisms and can severely affect network reliability, data integrity, and mission-critical applications. Research has shown that selective forwarding attacks are particularly challenging because attackers appear legitimate while selectively discarding sensitive traffic.Anomaly Detection in Wireless Selective Forwarding in Cyber Security presents a comprehensive study of anomaly detection techniques designed to identify and mitigate selective forwarding attacks in modern wireless environments. The book begins by introducing the fundamentals of wireless communication, wireless sensor networks, routing protocols, and cybersecurity principles before examining the security vulnerabilities that exist in distributed wireless infrastructures. Readers gain a clear understanding of how selective forwarding attacks are launched, why they are difficult to detect, and how they impact data transmission, network performance, and system availability.The book explores both traditional and modern anomaly detection approaches, including statistical analysis, rule-based systems, machine learning algorithms, artificial intelligence, trust-based models, and hybrid intrusion detection systems. It explains how abnormal communication patterns, packet loss behavior, node trust values, traffic characteristics, and routing anomalies can be analyzed to distinguish malicious activity from normal network behavior. Readers are introduced to supervised, unsupervised, and hybrid learning techniques that improve detection accuracy while minimizing false alarms. Modern anomaly detection systems increasingly combine AI with behavioral analysis to improve detection of previously unseen attacks.Special emphasis is placed on practical implementation in wireless sensor networks, IoT environments, mobile ad hoc networks (MANETs), and next-generation wireless systems. The book discusses secure routing protocols, intrusion detection systems, anomaly detection frameworks, trust management, network monitoring, and performance evaluation using industry-standard metrics such as detection accuracy, precision, recall, false positive rate, and response time. It also examines the challenges of resource-constrained wireless devices, energy efficiency, scalability, and real-time detection in dynamic network environments. 142 pp. Englisch.…

N° de ref. del artículo 9798256208103

Título
Anomaly Detection in Wireless Selective Forwarding in Cyber Security
Autor
Nitish Pandey
Editorial
Indy Pub Jul 2026
Año de publicación
2026
Estado
Neu
Encuadernación
Taschenbuch
Idioma
inglés
ISBN 13
9798256208103
Peso del artículo
201 gramos
Dimensiones
229x152x8 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Alemania

Vendedor de 5 estrellas

Vendedor de IberLibro desde 11 de enero de 2012

Tarifas de envío de Alemania a Estados Unidos de America

ArtículoDe 5 a 15 días hábilesDe 5 a 15 días hábiles
Primer artículoEUR 23,00EUR 23,00
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Información empresarial del vendedor

BuchWeltWeit Ludwig Meier e.K.

Alemania