| 发明名称 |
DETERMINING PRIVACY GRANULARITY |
| 摘要 |
Techniques for determining privacy granularity in a data flow are described herein. The techniques may include identifying a data flow source statement within a computer program and identifying a feature read at the source statement. The feature includes private data of a private data category. The techniques include identifying a sink of the data flow and determining a value associated with the feature flowing into the sink. The value indicates a degree of granularity of the private data flowing into the sink. |
| 申请公布号 |
US2016171225(A1) |
申请公布日期 |
2016.06.16 |
| 申请号 |
US201414568684 |
申请日期 |
2014.12.12 |
| 申请人 |
International Business Machines Corporation |
发明人 |
Hay Roee;Tripp Omer |
| 分类号 |
G06F21/60;G06F21/64;G06F21/56 |
主分类号 |
G06F21/60 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method determining privacy granularity, comprising:
identifying a data flow source statement within a computer program; identifying a feature read at the source statement, wherein the feature comprises private data of a private data category; identifying a sink statement of the data flow; determining a value associated with the feature flowing into the sink, wherein the value indicates a degree of granularity of the private data flowing into the sink in comparison to the private data identified at the source. |
| 地址 |
Armonk NY US |
