| Project/Area Number |
15H06886
|
|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Software
|
|---|
| Research Institution | National Institute of Advanced Industrial Science and Technology |
|---|
Principal Investigator |
Kawamoto Yusuke 国立研究開発法人産業技術総合研究所, 情報技術研究部門, 研究員 (60760006)
|
|---|
| Research Collaborator |
Biondi Fabrizio CentraleSupélec & Inria/IRISA Rennes, Chair of Threat Analysis
Given-Wilson Thomas Inria/IRISA Rennes, Post-doctoral Researcher
Traonouez Louis-Marie Inria/IRISA Rennes, Post-doctoral Researcher
|
|---|
| Project Period (FY) |
2015-08-28 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
|
|---|
| Keywords | 情報セキュリティ / プログラム検証 / 形式手法 / 情報理論 / 定量的情報流解析 / 情報流解析 |
|---|
| Outline of Final Research Achievements |
In this project we developed a new analysis method for automatically estimating the amount of information leakage in larger probabilistic systems in order to improve the techniques for quantitatively analyzing information leakage in cyber-physical systems. More specifically, we developed theories in quantitative information flow, and proposed a new hybrid approach that combines the formal approach with the statistical approach to obtain faster analysis with better accuracy. Then we developed a new analysis tool HyLeak for estimating leakage amount using this hybrid approach. In addition we also investigated how scheduling and observation influence information leakage properties.
|
