公开(公告)号：US20130247214A1

公开(公告)日：2013-09-19

申请号：US13887588

申请日：2013-05-06

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P

Inventor： Graham Cormode ,  Smriti Bhagat ,  Balanchander Krishnamurthy ,  Divesh Srivastava

IPC: G06F21/62

CPC classification number: G06F21/6254 ,  H04L63/0421

Abstract: The present disclosure is directed to systems, methods, and computer-readable storage media for anonymizing data over multiple temporal releases. Data is received, and nodes and connections in the data are identified. The data also is analyzed to identify predicted connections. The nodes, the connections, and the predicted connections are analyzed to determine how to group the nodes in the data. The data is published, and the grouping of the nodes is extended to subsequent temporal releases of the data, the nodes of which are grouped in accordance with the grouping used with the data.

Abstract translation: 本公开涉及用于在多个时间版本上匿名数据的系统，方法和计算机可读存储介质。 接收数据，并识别数据中的节点和连接。 分析数据以识别预测的连接。 分析节点，连接和预测连接，以确定如何对数据中的节点进行分组。 发布数据，并且将节点的分组扩展到数据的随后的时间释放，其节点根据与数据一起使用的分组进行分组。

公开(公告)号：US08875305B2

公开(公告)日：2014-10-28

申请号：US13887588

申请日：2013-05-06

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Graham Cormode ,  Smriti Bhagat ,  Balanchander Krishnamurthy ,  Divesh Srivastava

IPC: H04L29/06 ,  G06F21/62

CPC classification number: G06F21/6254 ,  H04L63/0421

Abstract: The present disclosure is directed to systems, methods, and computer-readable storage media for anonymizing data over multiple temporal releases. Data is received, and nodes and connections in the data are identified. The data also is analyzed to identify predicted connections. The nodes, the connections, and the predicted connections are analyzed to determine how to group the nodes in the data. The data is published, and the grouping of the nodes is extended to subsequent temporal releases of the data, the nodes of which are grouped in accordance with the grouping used with the data.

Abstract translation: 本公开涉及用于在多个时间版本上匿名数据的系统，方法和计算机可读存储介质。 接收数据，并识别数据中的节点和连接。 分析数据以识别预测的连接。 分析节点，连接和预测连接，以确定如何对数据中的节点进行分组。 发布数据，并且将节点的分组扩展到数据的随后的时间释放，其节点根据与数据一起使用的分组被分组。