Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks
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Mobile Agent-Based Anomaly Detection and Verification System for Smart Home Sensor Networks

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789811074677
Veröffentl:
2018
Einband:
eBook
Seiten:
139
Autor:
Muhammad Usman
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.

This book presents the latest developments regarding a detailed mobile agent-enabled anomaly detection and verification system for resource constrained sensor networks; a number of algorithms on multi-aspect anomaly detection in sensor networks; several algorithms on mobile agent transmission optimization in resource constrained sensor networks; an algorithm on mobile agent-enabled in situ verification of anomalous sensor nodes; a detailed Petri Net-based formal modeling and analysis of the proposed system, and an algorithm on fuzzy logic-based cross-layer anomaly detection and mobile agent transmission optimization. As such, it offers a comprehensive text for interested readers from academia and industry alike.

Introduction.- Background.- Abnormality Identification and Confirmation System.-  First-Order Abnormalities: Agent Transmission Optimization.- Cross-Layer Identification and Transmission of Agent Using Fuzzy Logic.- Conclusions.

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