CHPC: A complex semantic-based secured approach to heritage preservation and secure IoT-based museum processes

Abstract Preservation and conservation of cultural heritage artifacts are a still of high priority. Regulation of microclimate parameters such as humidity, temperature, luminosity etc. has a great effect on heritage preservation. Due to development of new technologies museum systems face the challenge of minimizing human interaction. In this paper, we propose a CHPC (Cultural Heritage Preservation and Conservation) system for automated regulation of microclimate parameters and assisting museum staff in the issues of choosing right exhibition halls for the artifacts depending on materials of items for the reasons of different store conditions, based on Internet of Things (IoT) and Artificial Intelligence (AI), particularly Semantic Web technologies. Typical use-cases for the system are described as well as the ways to support them. Moreover, the proposed CHPC system has to be secured since when using up-to-date technologies new threats appear. An overview of new security issues is proposed. We suggest architecture for museum system and spot on an overview of security architectural bulkhead to provide security of semantics and wireless infrastructure. Operating principles of security system are provided as well. To verify our proposal, experiments and verification tests are conducted.