深層学習を用いた暗号実装の安全性評価の基礎理論の構築と実装攻撃対策技術の開発

• Project/Area Number: 25K03117
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 60070:Information security-related
• Research Institution: Kyoto University
• Principal Investigator: 上野 嶺 京都大学, 情報学研究科, 准教授 (80826165)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥25,870,000 (Direct Cost: ¥19,900,000、Indirect Cost: ¥5,970,000); Fiscal Year 2027: ¥7,930,000 (Direct Cost: ¥6,100,000、Indirect Cost: ¥1,830,000); Fiscal Year 2026: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000); Fiscal Year 2025: ¥10,530,000 (Direct Cost: ¥8,100,000、Indirect Cost: ¥2,430,000)