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1. 发明授权

US08306932B2 System and method for adaptive data masking 有权
标题翻译：用于自适应数据屏蔽的系统和方法
公开(公告)号：US08306932B2
公开(公告)日：2012-11-06
申请号：US12384776
申请日：2009-04-08
申请人： Ashutosh Saxena , Vishal Anjaiah Gujjary , Kumar Surni
发明人： Ashutosh Saxena , Vishal Anjaiah Gujjary , Kumar Surni
IPC分类号： G06F15/18 , G06N3/00
CPC分类号： G06N3/0427 , G06N3/08
摘要： A method for adaptive data masking of a database is provided. The method comprises extracting data from a first database and providing one or more predefined rules for masking the extracted data. The method further comprises masking a first portion of extracted data using a trained Artificial Neural Network (ANN), where the ANN is trained for masking at least one database having properties similar to the first database. The masked and unmasked data is aggregated to arrive at an output structurally similar to the extracted data. The method furthermore comprises determining a deviation value between the arrived output and expected output of the extracted data, and adapting the trained ANN automatically according to data masking requirements of the first database, if the deviation value is more than a predefined value.
摘要翻译：提供了一种用于数据库的自适应数据屏蔽的方法。该方法包括从第一数据库中提取数据并提供一个或多个用于掩蔽提取的数据的预定义规则。该方法还包括使用经过训练的人工神经网络（ANN）掩蔽提取的数据的第一部分，其中训练ANN以掩蔽具有与第一数据库相似的属性的至少一个数据库。屏蔽和未屏蔽的数据被聚合以得到结构上类似于提取的数据的输出。该方法还包括确定所提取的数据的到达输出和预期输出之间的偏差值，以及如果偏差值大于预定值，则根据第一数据库的数据屏蔽要求自动修改经训练的ANN。

2. 发明申请

US20090281974A1 System and method for adaptive data masking 有权
标题翻译：用于自适应数据屏蔽的系统和方法
公开(公告)号：US20090281974A1
公开(公告)日：2009-11-12
申请号：US12384776
申请日：2009-04-08
申请人： Ashutosh Saxena , Vishal Anjaiah Gujjary , Kumar Surni
发明人： Ashutosh Saxena , Vishal Anjaiah Gujjary , Kumar Surni
IPC分类号： G06N3/08 , G06F15/18 , G06F17/30
CPC分类号： G06N3/0427 , G06N3/08
摘要： A method for adaptive data masking of a database is provided. The method comprises extracting data from a first database and providing one or more predefined rules for masking the extracted data. The method further comprises masking a first portion of extracted data using a trained Artificial Neural Network (ANN), where the ANN is trained for masking at least one database having properties similar to the first database. The masked and unmasked data is aggregated to arrive at an output structurally similar to the extracted data. The method furthermore comprises determining a deviation value between the arrived output and expected output of the extracted data, and adapting the trained ANN automatically according to data masking requirements of the first database, if the deviation value is more than a predefined value.
摘要翻译：提供了一种用于数据库的自适应数据屏蔽的方法。该方法包括从第一数据库中提取数据并提供一个或多个用于掩蔽提取的数据的预定义规则。该方法还包括使用经过训练的人工神经网络（ANN）掩蔽提取的数据的第一部分，其中训练ANN以掩蔽具有与第一数据库相似的属性的至少一个数据库。屏蔽和未屏蔽的数据被聚合以得到结构上类似于提取的数据的输出。该方法还包括确定所提取的数据的到达输出和预期输出之间的偏差值，以及如果偏差值大于预定值，则根据第一数据库的数据屏蔽要求自动修改经训练的ANN。

3. 发明申请

US20090150983A1 SYSTEM AND METHOD FOR MONITORING HUMAN INTERACTION 审中-公开
标题翻译：用于监测人际交往的系统和方法
公开(公告)号：US20090150983A1
公开(公告)日：2009-06-11
申请号：US12197951
申请日：2008-08-25
申请人： Ashutosh SAXENA , Kumar SURNI
发明人： Ashutosh SAXENA , Kumar SURNI
IPC分类号： H04L9/32 , G06F21/00
CPC分类号： G06F21/36
摘要： A method and system to authenticate human interactive proof (HIP) are described here. In response to a request from a web server, a motion random HIP in the form of motion-captcha is generated. The web server can then display the generated the motion random HIP in a requested web page. The web page is accompanied with a request from the user to provide the response for the generated motion captcha. After evaluation and verification of response received from the particular user, the authentication system determine whether the response to the HIP challenge is from human or from other source like computer software scripted agent.
摘要翻译：这里描述了一种验证人类交互式证明（HIP）的方法和系统。响应于来自Web服务器的请求，生成以运动验证码形式的运动随机HIP。然后，Web服务器可以在所请求的网页中显示生成的运动随机HIP。该网页伴随着来自用户的请求，以提供所生成的运动验证码的响应。在对来自特定用户的响应的评估和验证之后，认证系统确定对HIP挑战的响应是来自人还是来自诸如计算机软件脚本代理的其他来源。

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