Internet of Things (IoT) technology is an innovative emerging computing paradigm that provides colossal intelligence to objects interconnected in a huge network. This technology's explosive growth and involvement in the day to day activity, enhances the internet usage gigantically. Size along with the complexity, it is continuously exploding with involvement of more devices universally. Recent trends show that it is becoming an unavoidable technology on society. However, massive information transmission presents severe security challenges that attract scientific community attention. Moreover, in order to tackle security issues and challenges, this paper aim to present an overview of IoT devices, related security concern, and possible solutions using latest advance Machine Learning (ML) and Blockchain technology. This paper highlights current IoT security related research challenges and also discusses avenues for a solution using theoretical holistic blockchain approach. In addition, this document provides an experimental analysis of machine learning relevant approaches as a suitable security solution for IoT devices. Finally, directions for future research in machine learning and blockchain as a rescue for security in IoT is discussed.

IoT, Security, Learning paradigms, Blockchain technology, Intrusion Detection System.