Produktdetaljer
Biografisk notat
Muhammad Usman Shahid Khan is an Assistant Professor at COMSATS University of Islamabad, Abbottabad Campus. He is an IEEE Member. His research interests include data mining, recommendation systems, computer security, and big data. Samee U. Khan is an Associate Professor of Electrical and Computer Engineering at the North Dakota State University, Fargo, ND, USA. His research interests include optimization, robustness, and system security. Albert Y. Zomaya is Chair Professor of High Performance Computing & Networking in the School of Computer Science, and Director of the Centre for Distributed and High-Performance Computing at the University of Sydney, Australia. His research interests span several areas in parallel and distributed computing and complex systems.The fields of Big Data and the Internet of Things (IoT) have seen tremendous advances, developments, and growth in recent years. The IoT is the inter-networking of connected smart devices, buildings, vehicles and other items which are embedded with electronics, software, sensors and actuators, and network connectivity that enable these objects to collect and exchange data. The IoT produces a lot of data. Big data describes very large and complex data sets that traditional data processing application software is inadequate to deal with, and the use of analytical methods to extract value from data. This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
This edited book covers analytical techniques for handling the huge amount of data generated by the Internet of Things, from architectures and platforms to security and privacy issues, applications, and challenges as well as future directions.
- Chapter 1: Introduction to big data-enabled Internet of Things
- Chapter 2: Smarter big data analytics for traffic applications in developing countries
- Chapter 3: Using IoT-based big data generated inside school buildings
- Chapter 4: Autonomous collaborative learning in wearable IoT applications
- Chapter 5: A distributed approach to energy-efficient data confidentiality in the Internet of Things
- Chapter 6: An assessment of the efficiency of smart city facilities in developing countries: the case of Yaoundé, Cameroon
- Chapter 7: A comparative study of software programming platforms for the Internet of Things
- Chapter 8: Fog computing-based complex event processing for Internet of Things
- Chapter 9: Ultra-narrow-band for IoT
- Chapter 10: Fog-computing architecture: survey and challenges
- Chapter 11: A survey on outlier detection in Internet of Things big data
- Chapter 12: Supporting Big Data at the vehicular edge
- Chapter 13: Big data-oriented unit and ubiquitous Internet of Things (BD-U2IoT) security
- Chapter 14: Confluence of Big Data and Internet of Things - relationship, synergization, and convergence
- Chapter 15: Application of Internet of Things and big data for sustainability in water
- Chapter 16: IoT-based smart transportation system under real-time environment
- Chapter 17: Edge computing: a future trend for IoT and big data processing
- Chapter 18: Edge computing-based architectures for big data-enabled IoT
- Chapter 19: Information-centric trust management for big data-enabled IoT
- Chapter 20: Dependability analysis of IoT systems using dynamic fault trees analysis