Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conceptual Design

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....

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...

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...

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. <br/>In this paper we discuss how BC based solutions can significantly increase the...