IoTデバイスにおける自己学習型サイバー攻撃検知システム

• Project/Area Number: 21K17728
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 60060:Information network-related
• Research Institution: The University of Tokyo
• Principal Investigator: シン ヨウ 東京大学, 大学院情報理工学系研究科, 特任研究員 (10884918)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Project Status: Declined (Fiscal Year 2021)
• Budget Amount: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000); Fiscal Year 2023: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2022: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000); Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)