Distributed Networks: Intelligence, Security, and Applications

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

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