Year
2019
Abstract
Open source data mining is one of the most explored topics nowadays to discover the information and knowledge from the existing data. It’s using is encouraged by IAEA guidelines “Safeguards Implementation Practices Guide on Provision of Information to the IAEA”. The complexity of the analytical work to ensure the completeness of the declaration is to define on the one hand if all covered entities have been targeted and in the other hand if all activities have been declared. Through the French example, this work describes how open-source information data mining allows initializing and updating the entities list, validating the addresses declared in PASTEL the French custom portal created to enhance AP declarations, and identifying new research programs. In order to support IAEA, France has put into place methodologies using open source information collection and evaluation to improve French Additional Protocol declaration and insure the completeness and correctness of information declared to IAEA. Indeed, French Additional Protocol is focused on various activities (research on fuel cycle, dual use-good trade, mining and waste transfer), with an important amount of data (addresses, programs, new registrants etc.) to be processed. This paper identifies two methods to improve the detection according to different AP’s articles. Indeed, this study shows that the use of company directories such as Kompass® improves the declaration for AP’s article for the manufacture and export of dual-use goods, even if the number of lines declared remains stable. A cross matching with dual-use license is under studying and looks promising. It also indicates that the systemization of the looking for research programs increases the number of programs declared to the IAEA but also improves the new registrant’s detection.