Publication search
with Internet of Things as keyword

Acceptability of a Health Care App With 3 User Interfaces for Older Adults and Their Caregivers: Design and Evaluation S...

Published in JMIR human factors

The older population needs solutions for independent living and reducing the burden on caregivers while maintaining the quality and dignity of life. The aim of this study was to design, develop, and evaluate an older adult health care app that supports trained caregivers (ie, formal caregivers) and relatives (ie, informal caregivers). We aimed to i...

Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conc...

The Internet of Things industry is expanding rapidly. However, many security breaches occur, and privacy is often at stake in traditional IoT networks. These centralized systems will not be able to cope with dynamically changing environments. In light of these risks, it is crucial to prevent and minimize the chances of attacks occurring. Researcher...

IoT for Rail Transportation: The Case of Railigent

Internet of Things (IoT) platforms are often designed horizontally to serve requirements of various vertical industries, but some are custom-built and implemented only by the market participants in a specific industry vertical. This paper takes a case study approach to investigate the IoT platform Railigent, which facilitates IoT solutions exclusiv...

Improving security and efficiency in IoT data management using BC based solutions

The Internet of Things (IoT) consists out of billions of devices. This vast size magnifies the security and efficiency challenges the IoT faces. Blockchain (BC) features like decentralisation, immutability and smart contracts can negate these IoT challenges.
In this paper we discuss how BC based solutions can significantly increase the security and...

Machine Learning-based Techniques for Secure and Efficient IoT Data Management

The dramatic increase in the number of Internet of Things (IoT) devices has created rapid growth for exploitation of security flaws and vulnerabilities. Particularly for critical infrastructure and real-time systems security threats can be highly damaging. Machine Learning (ML) algorithms have demonstrated the ability to combat the security threats...

Privacy Protection and Performance Enhancement in IoT Applications using Blockchain and Machine Learning Techniques

The Internet of Things (IoT) is producing significant amounts of data. Protecting this data from adversaries is therefore a prominent field of research. This paper conducts a review of the current state-of-the-art in the field of IoT integrated with Blockchain (BC) and Machine Learning (ML). The review focuses on the use of privacy and performance ...