Statistical access control based on a state-space model
| Project/Area Number |
15K00195
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Information security
|
|---|
| Research Institution | The Institute of Statistical Mathematics |
|---|
Principal Investigator |
Minami Kazuhiro 統計数理研究所, モデリング研究系, 准教授 (10579410)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
丹生 智也 大学共同利用機関法人情報・システム研究機構(機構本部施設等), 大学共同利用機関等の部局等, 研究員 (40635067)
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | アクセス制御 / 匿名化 / 状態空間モデル / 隠れマルコフモデル / 統計開示抑制 / 最適化 / 統計開示制御 / セル秘匿問題 / Benders分割 / 位置情報プライバシー |
|---|
| Outline of Final Research Achievements |
In recent years, various kinds of big data, most of which are concerned with our behavior history, has been actively utilized for data analysis. Since such historical data on our behaviors contains sensitive information on our privacy, we need a method for controlling access to sensitive information. However, time-series data on our activities tends to have high temporal and spatial correlations, we need a new access-control method for protecting time-series data under the presence of various inference attacks. In this research, we formulated the problem of access control as the inverse problem of state estimation in the state space model, and established a unified framework for designing a proper enforcement mechanism for access control.
|
Report
(4 results)
Research Products
(20 results)
