Connectivity Frameworks for Smart Devices: The Internet of Things from a Distributed Computing Perspective

ISBN-13: 9783319331225 / Angielski / Twarda / 2016 / 356 str.

Zaigham Mahmood

Opis

This timely volume provides a review of the state-of-the-art frameworks and methodologies for connecting diverse objects and devices according to the vision for an Internet of Things (IoT). A specific focus is placed on the communication, security, and privacy aspects of device connectivity in distributed environments. Insights and case studies are provided by an authoritative selection of contributors of international repute into the latest research advances and practical approaches with respect to the connectivity of heterogeneous smart and sensory devices. Topics and features:

• Examines aspects of device connectivity within the IoT
  
• Presents a resource-based architecture for IoT, and proposes a resource management framework for corporate device clouds
  
• Reviews integration approaches for the IoT environment, and discusses performance optimization of intelligent home networks
  
• Introduces a novel solution for interoperable data management in multi-clouds, and suggests an approach that addresses the debate over network neutrality in the IoT
  
• Describes issues of data security, privacy, access control, and authentication in the distributed IoT environment
  
• Reviews the evolution of VANETs in relation to the Internet of Vehicles, and provides a perspective on developing smart sustainable cities

This invaluable text/reference will be of great benefit to a broad audience, from students and researchers interested in the IoT vision, to practicing communication engineers and network security specialists.

Spis treści

Part I: Device Connectivity in the Internet of Things

Securing Device Connectivity in the Industrial Internet of Things
Amir Manzoor

Security Mechanisms for Connectivity of Smart Devices in the Internet of Things
Somayya Madakam and Hema Date

Agent-Based Machine-to-Machine Connectivity Analysis for the Internet of Things Environment
Bo Xing

Secure Inter-Vehicle Communication: A Need for the Evolution of VANET Towards an Internet of Vehicles
Sulata Mitra and Atanu Mondal

Part II: Architecture and Frameworks for the Internet of Things

A Resource-Oriented Architecture for the Internet of Things
Ricardo Souza and Eleri Cardozo

Integration Approaches for the Internet of Things Era
Rajaraajeswari S., Selvarani R., and Pethuru Raj

Cooperative Device Cloud: A Resource Management Framework for the Internet of Things
Andreas Kliem and Odej Kao

Towards Enabling Clouds for IoT: Interoperable Data Management Approaches by Multi-Clouds
Tamas Pflanzner, Roland Tornyai, and Attila Kertesz

Performance Optimization of Intelligent Home Networks
K’Obwanga M. Kevin, Okuthe P. Kogeda, and Manoj Lall

Network Neutrality in the IoT: A Fuzzy Cognitive Map Extend Technology Roadmap Perspective
Bo Xing

Part III: Security Mechanisms for the Internet of Things

Data Security and Privacy in the Internet of Things Environment
Vijayaraghavan V. and Shruti Bansal

Access Control and Authentication in the Internet of Things Environment
Aditya Kaushal Ranjan and Gaurav Somani

Internet of Things for Developing Smart Sustainable Cities: A Security Perspective
S. Sivagurunathan, A. Sebastian, and K. Prathapchandran

Connectivity of Smart Devices: Addressing the Security Challenges of the Internet of Things
Stephen Kwamena Aikins

O autorze

Professor Zaigham Mahmood is a Senior Technology Consultant at Debesis Education UK and an Associate Lecturer (Research) at the University of Derby, UK. He also holds positions as Foreign Professor at NUST and IIU in Islamabad, Pakistan, and Professor Extraordinaire at the North West University Potchefstroom, South Africa. Prof. Mahmood is a certified cloud computing instructor and a regular speaker at international conferences devoted to Cloud Computing and E-Government. His specialized areas of research include distributed computing, project management, and e-government. Among his many publications are the Springer titles Data Science and Big Data Computing, Cloud Computing: Challenges, Limitations and R&D Solutions, Continued Rise of the Cloud, Cloud Computing: Methods and Practical Approaches, Software Engineering Frameworks for the Cloud Computing Paradigm, and Cloud Computing for Enterprise Architectures.