An Investigation on Internet of Things (IoT) Technology in Smart Homes

Internet of Things technology is a rapidly growing industry and an essential necessity in the growth of smart homes as it provides home users with a very high level of convenience and efficiency to improve their lives. Over the last decade, several low and high-power technologies, wireless protocols, machine learning, cloud services, and other technologies such as ROR, BAN AVISPA, J48 ML algorithm and Weka API, NFDA, Edge Computing Paradigm, Fuzzy Logic, KNX Technology, SYN & HTTP flood attacks, Scheffe’s Regression Analysis, REST API, RF energy, OCTAVE, etc. were used in the Internet of Things, and these have heralded a new era of smart houses. However, these heterogeneous devices have issues of security, privacy, and dependability. This survey focused on analyzing and reviewing top-notch papers from reputable journals and publishers with the aim of proposing, designing, and implementing improved smart home systems to solve these technical issues of smart homes mainly privacy and security issues through the application of machine learning techniques/algorithms for predicting the usage behavior of these smart home occupants.