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Book Description

For many civilian, security, and military applications, distributed and networked coordination offers a more promising alternative to centralized command and control in terms of scalability, flexibility, and robustness. It also introduces its own challenges. Distributed Networks: Intelligence, Security, and Applications brings together scientific research in distributed network intelligence, security, and novel applications. The book presents recent trends and advances in the theory and applications of network intelligence and helps you understand how to successfully incorporate them into distributed systems and services.

Featuring contributions by leading scholars and experts from around the world, this collection covers:

  • Approaches for distributed network intelligence
  • Distributed models for distributed enterprises, including forecasting and performance measurement models
  • Security applications for distributed enterprises, including intrusion tackling and peer-to-peer traffic detection
  • Future wireless networking scenarios, including the use of software sensors instead of hardware sensors
  • Emerging enterprise applications and trends such as the smartOR standard and innovative concepts for human–machine interaction in the operating room

Several chapters use a tutorial style to emphasize the development process behind complex distributed networked systems and services, which highlights the difficulties of knowledge engineering of such systems. Delving into novel concepts, theories, and advanced technologies, this book offers inspiration for further research and development in distributed computing and networking, especially related to security solutions for distributed environments.

Table of Contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Editor
  9. Contributors
  10. Part I Distributed Network Intelligence and Systems
    1. 1. Cooperative Regression-Based Forecasting in Distributed Traffic Networks
    2. 2. A Sensor Data Aggregation System Using Mobile Agents
    3. 3. Underlay-Aware Distributed Service Discovery Architecture with Intelligent Message Routing
    4. 4. System-Level Performance Simulation of Distributed Embedded Systems via ABSOLUT
    5. 5. Self-Organizing Maps: The Hybrid SOM–NG Algorithm
    6. 6. A Semi-Supervised and Active Learning Method for Alternatives Ranking Functions
  11. Part II Distributed Network Security
    1. 7. Tackling Intruders in Wireless Mesh Networks
    2. 8. Semi-Supervised Learning BitTorrent Traffic Detection
    3. 9. Developing a Content Distribution System over a Secure Peer-to-Peer Middleware
  12. Part III Applications and Trends in Distributed Enterprises
    1. 10. User Activity Recognition through Software Sensors
    2. 11. Multi-Agent Framework for Distributed Leasing-Based Injection Mould Remanufacturing
    3. 12. The Smart Operating Room: smartOR
    4. 13. Distributed Online Safety Monitor Based on Multi-Agent System and AADL Safety Assessment Model
    5. 14. State of the Art of Service-Level Agreements in Cloud Computing
    6. 15. Used Products Return Service Based on Ambient Recommender Systems to Promote Sustainable Choices
  13. Index
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