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

  • Muhammad Usman
  • Vallipuram Muthukkumarasamy
  • Xin-Wen Wu
  • Surraya Khanum

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 1-8
  3. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 9-43
  4. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 45-80
  5. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 81-108
  6. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 109-127
  7. Muhammad Usman, Vallipuram Muthukkumarasamy, Xin-Wen Wu, Surraya Khanum
    Pages 129-134
  8. Back Matter
    Pages 135-139

About this book

Introduction

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.

Keywords

Anomaly Detection Mobile Agent Smart Home Distributed System Internet of Things

Authors and affiliations

  • Muhammad Usman
    • 1
  • Vallipuram Muthukkumarasamy
    • 2
  • Xin-Wen Wu
    • 3
  • Surraya Khanum
    • 4
  1. 1.Department of Computer SciencesQuaid-I-Azam University IslamabadPakistan
  2. 2.School of Information & Communication TechnologyGriffith University Gold CoastAustralia
  3. 3.School of Information & Communication TechnologyGriffith UniversityGold CoastAustralia
  4. 4.Department of Computer SciencesQuaid-I-Azam UniversityIslamabadPakistan

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7467-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Computer Science
  • Print ISBN 978-981-10-7466-0
  • Online ISBN 978-981-10-7467-7
  • Buy this book on publisher's site
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