Internet of Things Security Using Machine Learning

The Internet of Things (IoT) is growing rapidly in the last decade. The number of interconnected smart devices has already crossed the total world’s population. The data generated by these devices are huge. The IoT is used in different applications like smart monitoring, healthcare system, smart home, where sensitive information is shared among users. Security and privacy are some of the major challenges in IoT applications. Some traditional security and cryptographic techniques are tried to address some of the issues exist in the IoT system. Due to resource constraints, IoT devices are more vulnerable to the outside world. The processing and computing the sensitive data is one of the challenges in IoT application. In this work, the authors identify the security issue present in the IoT system. Later identified machine learning can be addressed some of the security issues exist in IoT applications. From the analysis, authors found out that the machine learning integrated with IoT makes the system more secure, and processing becomes more efficient using machine learning algorithms.