AI Enhanced Blockchain Security for IoT Networks : Machine Learning, Bio Inspired Optimization, and Trust Driven Architectures for Next Generation Networks

Language: English

Published by LAP LAMBERT Academic Publishing, 2026

663014516X / 9786630145168

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nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid expansion of IoT and cloud-enabled wireless systems has created significant security challenges, particularly for resource-constrained devices with limited energy, computational capacity, and network resources. These constraints make IoT nodes highly susceptible to cyber threats, including Distributed Denial-of-Service (DDoS) attacks, Sybil attacks, packet tampering, data manipulation, and unauthorized access. To address these challenges, this research proposes an intelligent and integrated security framework that combines machine learning-based anomaly detection, blockchain-enabled authentication, and bio-inspired optimization techniques to enhance security, trustworthiness, scalability, and overall network performance. The framework utilizes supervised multiclass and one-class machine learning classifiers to identify both known and previously unseen anomalies in near real time using measurable network and communication parameters. To ensure data integrity, transparency, and decentralized trust management, a blockchain architecture incorporating a novel Proof of Iterative Trust (PoIT) consensus mechanism is employed. Furthermore, cloud-scale efficiency is improved.…

Seller Inventory # 9786630145168

Title
AI Enhanced Blockchain Security for IoT Networks : Machine Learning, Bio Inspired Optimization, and Trust Driven Architectures for Next Generation Networks
Author
Shubhangi Rathkanthiwar
Publisher
LAP LAMBERT Academic Publishing
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
663014516X
ISBN 13
9786630145168
Item weight
268 grams
Dimensions
220x150x11 mm

AHA-BUCH GmbH

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