On the challenges of data provenance in the Internet of Things

The IoT is described as a smart interactive environment where devices communicate together ubiquitously sometimes in the background, performing functions on behalf of the users and offering many advanced services to them. Examples range from simple smart home applications such as ambient intelligence and remote controlling functionalities to more advanced smart cities setups. A smart IoT city for instance will encompass a network of many interconnected networks where various sensors and actuators distributed across many areas of the city share information, create knowledge and trigger actuation events. In such a dynamic and rich environment, it is vital for security to trace the source of data and verify its origin. This where data provenance in the IoT come to play. This work attempts to explore requirements and applications of data provenance in the IoT and the challenges pertaining to its realisation

Data provenance and trust establishment in the Internet of Things

The Internet of Things (IoT) is a network of heterogeneous networks encompassing various forms of communications form the current traditional communication models to ubiquitous and pervasive machine to machine communications. In such an ever expanding, dynamic, and complex environment, it becomes vital to know the origin or the source of data and whether this data can be trusted or no. This requires not only accurate, secure, and correct data collection processes; but also provisioning of data provenance throughout the life‐cycle of an IoT device and the data it produces. To this end, this work introduces a provenance‐based trust management solution, which provides a trust establishment mechanism amongst communicating devices in the IoT. It provides a way to quantitatively assess the trustworthiness of data supplied by a given IoT device. Thus, providing a novel solution to preserve data provenance of IoT devices. This IoT data provenance solution extends the capabilities of our previously proposed IoT platform known as the IoT‐management platform, which aimed at preserving the privacy of users in the IoT

On the challenges of data provenance in the Internet of Things

The IoT is described as a smart interactive environment where devices communicate together ubiquitously sometimes in the background, performing functions on behalf of the users and offering many advanced services to them. Examples range from simple smart home applications such as ambient intelligence and remote controlling functionalities to more advanced smart cities setups. A smart IoT city for instance will encompass a network of many interconnected networks where various sensors and actuators distributed across many areas of the city share information, create knowledge and trigger actuation events. In such a dynamic and rich environment, it is vital for security to trace the source of data and verify its origin. This where data provenance in the IoT come to play. This work attempts to explore requirements and applications of data provenance in the IoT and the challenges pertaining to its realisation

Emerging wireless technologies in the Internet of Things: A comparative study

The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. This research analyses some of the major evolving and enabling wireless technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah protocol. The studies evaluate the capabilities and behaviours of these technologies regarding various metrics including the data range and rate, network size, RF Channels and Bandwidth, and power consumption. It is concluded that there is a need to develop a multifaceted technology approach to enable interoperable and secure communications in the IoT

Wireless enabling technologies for the internet of things

This Chapter provides several comparable studies of some of the major evolving and enabling wireless technologies in the Internet of Things (IoT). Particularly, it focuses on the ZigBee, 6lowpan, Bluetooth Low Energy, LTE, and the different versions of Wi-Fi protocols including the IEEE 802.11ah. The studies, reported in this chapter, evaluate the capabilities and behaviors of these technologies in terms of various metrics including the data range and rate, network size, RF Channels and Bandwidth, Antenna design considerations, Power Consumption, and their Ecosystem. It is concluded that the requirements of each IoT application play a significant role in the selection of a suitable wireless technology. © 2016 by IGI Global. All rights reserved

Internet of Things applications: Current and future development

© 2016 by IGI Global. All rights reserved. brings connectivity to about every objects found in the physical space. It extends connectivity not only to computer and mobile devices but also to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. This chapter briefly surveys some IoT applications and the impact the IoT could have on societies. It shows how the various application of the IoT enhances the overall quality of life and reduces management and costs in various sectors. The Internet of Things (IoT

A privacy risk assessment for the Internet of Things in healthcare

The Internet of Things (IoT) brings connectivity to about every object found in the physical space. It extends connectivity not only to mobile and wearable devices but also to everyday objects. From connected fridges and cars to fully interconnected smart cities, the IoT creates opportunities in numerous domains. This paper briefly highlights the promising applications of IoT in healthcare. The privacy challenges, risks, and vulnerabilities posed by the diversity and heterogeneity of communications in the IoT are then identified, followed by a privacy risk assessment

Wireless enabling technologies for the Internet of Things

This Chapter provides several comparable studies of some of the major evolving and enabling wireless technologies in the Internet of Things (IoT). Particularly, it focuses on the ZigBee, 6lowpan, Bluetooth Low Energy, LTE, and the different versions of Wi-Fi protocols including the IEEE 802.11ah. The studies, reported in this chapter, evaluate the capabilities and behaviors of these technologies in terms of various metrics including the data range and rate, network size, RF Channels and Bandwidth, Antenna design considerations, Power Consumption, and their Ecosystem. It is concluded that the requirements of each IoT application play a significant role in the selection of a suitable wireless technology. © 2018, IGI Global. All rights reserved

The Internet of Things: New interoperability, management and security challenges

The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. However, this increase in connectivity creates many prominent challenges. This paper provides a survey of some of the major issues challenging the widespread adoption of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security, management, and privacy

Emerging wireless technologies in the Internet of Things: A comparative study

The Internet of Things (IoT) incorporates multiple long-range, short-range, and personal area wireless networks and technologies into the designs of IoT applications. This enables numerous business opportunities in fields as diverse as e-health, smart cities, smart homes, among many others. This research analyses some of the major evolving and enabling wireless technologies in the IoT. Particularly, it focuses on ZigBee, 6LoWPAN, Bluetooth Low Energy, LoRa, and the different versions of Wi-Fi including the recent IEEE 802.11ah protocol. The studies evaluate the capabilities and behaviours of these technologies regarding various metrics including the data range and rate, network size, RF Channels and Bandwidth, and power consumption. It is concluded that there is a need to develop a multifaceted technology approach to enable interoperable and secure communications in the IoT