April 2018 to March 2019

Tang Lan( Research Professor, Executive Director, Institute of Cyber Security Studies, CICIR)
Wei Liang( Research Professor, Vice President Institute of Cyber Security Studies, CICIR)
Motohiro Tsuchiya( Professor, Keio University)
Koichiro Komiyama(Research Scholar, Keio University Global Research Institute (KGRI))
Izumi Harada(Executive Fellow, Institute for International Socio-Economic Studies)
Kenji Kobayashi (Senior Fellow, Institute for International Socio-Economic Studies)

   The hottest subject in cybersecurity is currently artificial intelligence (AI). Deep learning is a major technological breakthrough in machine learning that is now widely used in AI. In deep learning, an artificial intelligence can teach itself based on large amounts of data, allowing it to automatically make improvements to attack techniques and methods. At the same time, by using AI based on deep learning to analyze the structure of malware, it is possible to detect many noteworthy characteristics in data that can be analyzed to make significant discoveries.

   On the other hand, the abuse of AI will facilitate large-scale, accurate, and effective attacks, and can be regarded as an electronic, physical, and political threat. Using AI instead of humans allows the cost of launching a cyberattack to be reduced.

   In the light of this situation, this year’s study examined the use of AI in recent cybersecurity attacks and defenses and its effects on international relations, and considered how Japan should approach cybersecurity in the future. This study involved conducting a survey with a broad perspective, with the cooperation of China Institutes of Contemporary International Relations and Keio University.

   During this study, our findings were published at an interim review meeting held at the Institutes of Contemporary International Relations in Beijing on September 3, 2018, and at a final review meeting held on February 20, 2019 in Tokyo at the IISE/CICIR cyber security joint research symposium.