Society 5.0 proposed by Japan is a data-driven society in which people and things are connected, a variety of knowledge and information is shared, and new, never-before-seen value is produced. The spread of the novel coronavirus disease (COVID-19) will led to further progress in the digital transformation of society. As a result, a variety of data that could potentially lead to violation of confidentiality and privacy will likely be stored in public cloud-based systems, which raises concerns of increased security and privacy risks.
　The realization of a safe, secure, and reliable data-driven society requires the implementation of a framework that balances free information sharing and personal information protection. In the construction of increasingly ingenious and complex social systems, it is necessary to run system software based on Security-by-Design and Privacy-by-Design on various execution environments composed by hybrid hardware and operating systems. The new vulnerabilities in state-of-the-art hardware and OS reported in recent years are becoming more serious issues for Japan, which relies on overseas technologies. It has become difficult to solve fundamental issues with conventional individual responses. It is essential to view the entire social system from the perspective of by-design, to research and develop innovative technologies with a view to integrating them with theories such as distributed cooperative parallel processing and AI, and to create open system software that is safe, secure, and reliable in principle, and that has no black box in it and does not rely on other countries.
　This research area aims to produce innovative, foundational system software that is safe, secure, and trusted in the era of Society 5.0. This will be realized by promoting research and development that integrates and fuses fundamental theories and system platform technologies in a cross-cutting manner. Specifically, it aims to achieve the following three goals:
(1) The creation of security technologies that make it possible to build secure services even in platform environments that include non-trusted hardware and operating systems.
(2) The creation of advanced information sensing, sharing, and analysis technologies that ensure privacy even in open and malicious environments.
(3) The creation of sophisticated architecture, design, and implementation technologies of system software that enables to deploy adaptive information sensing, sharing, and analysis in secure and privacy preserving manner.
　This research area will be operated as part of the Ministry of Education, Culture, Sports, Science and Technology (MEXT)’s Artificial Intelligence/Big Data/IoT (Internet of Things)/Cybersecurity Integration Project (AIP Project : Advanced Integrated Intelligence Platform Project).