Internet of Things (IoT) offers a big variety of smart applications. Smart homes (SH) are a well-known utility of IoT that enhances quality of life. Security is the main challenge when discussing IoT due to the fact that it's far reachable across the world. Thus protecting SH against unauthorized customers may be very vital. Having access to sensor datasets is vital for SH research. Cost, time, low quality, and amount of present sensor datasets make it difficult for researchers to acquire data

more »

... ets. SH simulation is a method to solve those problems. This paper proposes to enhance an existing SH simulation tool to be remotely managed inside a secure server. The data sets were created the usage of a hybrid, open-source SH simulator OpenSHS, (Open Smart Home Simulator), for generate data sets. The actions of persons in their life were collected by OpenSHS. The design in OpenSHS can only be managed via the Blender program. For remotely managed through objects in Blender, a web server was developed that automatic return some data on all objects in a designed home and manages far away their properties in a good manner. To upload protection for the server an internet web page turned into designed with password safety to save you unauthorized customers from having access to the server. At the end, the system protection was validated by different four passwords related on their success rate; the confusion matrix was used also for the high secure used password. The results reveal that the proposed method is actually do well prior to the SH research.