Security & Privacy Issues in IoT Using Blockchain and ML

As Internet of Things (IoT) devices are being involved in abundant applications, security, and privacy of the IoT users have been of more concern. The security threats are rapidly growing making the solutions of security and privacy not inadequate. Thereby, each thing on the internet can be a point of target for hackers. Accordingly, ML algorithms are utilized for producing accurate outputs by using large and complex databases in which the produced outputs could be used in the prediction and detection of weaknesses in IoT systems. Additionally, BC methods are also being used for providing security and privacy solutions in IoT networks. Many existing studies have been carried out on BC techniques or ML algorithms or both. Though, these existing studies focus on either providing privacy or security issues by using BC techniques or ML algorithms, therefore, give rise to need for aa combined survey on solutions made recently which address both privacy and security issues by using BC techniques and ML algorithms. In this paper, we give a summarized survey of research works that happened in the last four years by addressing privacy and security issues by using BC techniques and ML algorithms in IoT networks. Different literatures have been categorized on privacy and security of BC techniques and ML algorithms in IoT. Then at last, some research challenges and future works are highlighted by using BC techniques and ML algorithms for addressing security and privacy issues in IoT networks.