公开(公告)号：US08478688B1

公开(公告)日：2013-07-02

申请号：US13329377

申请日：2011-12-19

申请人： Yael Villa ,  Alon Kaufman ,  Ayelet Eliezer ,  Marcelo Blatt ,  Tomer Meidan

发明人： Yael Villa ,  Alon Kaufman ,  Ayelet Eliezer ,  Marcelo Blatt ,  Tomer Meidan

IPC分类号： G06Q40/00

CPC分类号： G06Q40/02

摘要： An improved technique identifies risky transactions from a set of transactions and updates risk scores only for those transactions identified as risky. Along these lines, a transaction sorting engine sorts the set of transactions according to risk score. The transaction sorting engine identifies as risky those transactions having risk scores above a specified percentile; for instance, the transactions having risk scores above the 90th percentile would be identified as risky. Some time later, a risk score engine adjusts, based on new historical transaction data, Bayesian weights which it uses to compute risk scores. The transaction sorting engine sends to the risk score engine only those transactions it identified as risky. The risk score engine computes new risk scores for the risky transactions and makes the new risk scores available to the transaction sorting engine so that it can sort all of current transactions (e.g., received within the past week).

摘要翻译： 一种改进的技术可以识别一组交易中的风险交易，并仅对那些被认定为有风险的交易更新风险分数。 按照这些方面，交易排序引擎根据风险分数对交易集进行排序。 交易排序引擎将风险评分高于指定百分位数的交易识别为风险; 例如，具有高于第90百分位数的风险分数的交易将被确定为具有风险。 一段时间后，风险分数引擎根据新的历史交易数据调整贝叶斯权重，用于计算风险分数。 交易排序引擎仅向风险评分引擎发送那些被认定为具有风险的交易。 风险分数引擎计算风险交易的新风险分数，并使新的风险分数可用于交易排序引擎，以便它可以对所有当前交易进行排序（例如，在过去一周内收到）。

公开(公告)号：US09183595B1

公开(公告)日：2015-11-10

申请号：US13434983

申请日：2012-03-30

申请人： Ayelet Avni ,  Ayelet Eliezer ,  Yedidya Dotan

发明人： Ayelet Avni ,  Ayelet Eliezer ,  Yedidya Dotan

IPC分类号： G06Q50/00

CPC分类号： G06F21/40 ,  G06Q50/00

摘要： An improved technique generates questions to authenticate a user as part of a group. Along these lines, a KBA system, upon receiving a request to authenticate a particular user, collects facts having references to users of the group of users. The collected facts, however, may also include references to users not in the group of users. In building a set of questions for the particular user, the KBA system is capable of favoring facts having references to users of the group of users and few, if any, references to users not in the group of users; conversely, the KBA system is capable of discarding facts having too many references to users not in the group of users. The particular user's responses to the set of questions are indicative of whether the particular user belongs to the group.

摘要翻译： 改进的技术会产生问题，以将用户作为组的一部分进行身份验证。 沿着这些方向，KBA系统在接收到对特定用户的认证的请求时收集具有对该组用户的用户的引用的事实。 然而，收集的事实也可能包括对不在用户组中的用户的引用。 在为特定用户构建一组问题时，KBA系统能够有利于参考用户组的用户的事实，并且很少（如果有的话）引用不在用户组中的用户; 相反，KBA系统能够丢弃具有太多参考的事实，而不是用户组中的用户。 特定用户对该组问题的响应指示特定用户是否属于该组。