公开(公告)号：US08898796B2

公开(公告)日：2014-11-25

申请号：US13396271

申请日：2012-02-14

申请人： Ron Ben-Natan ,  Tamar Domany ,  Ariel Farkash ,  Igor Gokhman ,  Abigail Goldsteen ,  Yuval Hager ,  Ksenya Kveler ,  Boris Rozenberg ,  Ury Segal

发明人： Ron Ben-Natan ,  Tamar Domany ,  Ariel Farkash ,  Igor Gokhman ,  Abigail Goldsteen ,  Yuval Hager ,  Ksenya Kveler ,  Boris Rozenberg ,  Ury Segal

IPC分类号： G06F21/00 ,  G06F21/60 ,  G06F17/27 ,  G06F17/22

CPC分类号： G06F17/272 ,  G06F17/2247 ,  G06F21/606 ,  H04L63/20 ,  H04L2209/56 ,  H04L2463/102

摘要： A method, system or computer usable program product for masking communication data using context based rules including intercepting a communication between a server and a client by an intermediary, the communication having a recipient, parsing the communication by the intermediary to determine whether a context based alteration rule should be applied, responsive to an affirmative determination, applying the rule to the communication to produce an altered communication with altered data, and sending the altered communication to the recipient so that the altered data in the communication is utilized in a masked manner.

摘要翻译： 一种用于使用基于上下文的规则来掩蔽通信数据的方法，系统或计算机可用程序产品，包括通过中间人截取服务器和客户端之间的通信，所述通信具有接收者，解析所述中间人的通信以确定基于上下文的改变 应当根据肯定的决定应用规则，将该规则应用于通信以产生具有改变的数据的改变的通信，以及将改变的通信发送到接收者，以便以掩蔽的方式利用通信中的改变的数据。

公开(公告)号：US20130212689A1

公开(公告)日：2013-08-15

申请号：US13396271

申请日：2012-02-14

申请人： Ron Ben-Natan ,  Tamar Domany ,  Ariel Farkash ,  Igor Gokhman ,  Abigail Goldsteen ,  Yuval Hager ,  Ksenya Kveler ,  Boris Rozenberg ,  Ury Segal

发明人： Ron Ben-Natan ,  Tamar Domany ,  Ariel Farkash ,  Igor Gokhman ,  Abigail Goldsteen ,  Yuval Hager ,  Ksenya Kveler ,  Boris Rozenberg ,  Ury Segal

IPC分类号： G06F21/24 ,  G06F15/16

CPC分类号： G06F17/272 ,  G06F17/2247 ,  G06F21/606 ,  H04L63/20 ,  H04L2209/56 ,  H04L2463/102

摘要： A method, system or computer usable program product for masking communication data using context based rules including intercepting a communication between a server and a client by an intermediary, the communication having a recipient, parsing the communication by the intermediary to determine whether a context based alteration rule should be applied, responsive to an affirmative determination, applying the rule to the communication to produce an altered communication with altered data, and sending the altered communication to the recipient so that the altered data in the communication is utilized in a masked manner.

摘要翻译： 一种用于使用基于上下文的规则来掩蔽通信数据的方法，系统或计算机可用程序产品，包括通过中间人截取服务器和客户端之间的通信，所述通信具有接收者，解析所述中间人的通信以确定基于上下文的改变 应当根据肯定的决定应用规则，将该规则应用于通信以产生经改变的数据的改变的通信，并将改变的通信发送给接收者，使得通信中改变的数据以掩蔽的方式被利用。

公开(公告)号：US08141100B2

公开(公告)日：2012-03-20

申请号：US11642432

申请日：2006-12-20

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F15/163

CPC分类号： G06F9/545 ,  G06F2209/542

摘要： A multi-tier attribute tracking mechanism identifies end user credentials and other client information and attributes and assigns them to database requests in an application server architecture. Disclosed configurations identify the processing unit, or thread, assigned by the operating system to service the incoming request from the user at the application tier. A matching of users to threads allows successive thread activity to be mapped back to the initiating user. Conventional interception of database access attempts at the application level (“server taps,” or staps) identified only the database user (the account in the database) and associated connection as the responsible user. By intercepting, or “tapping” the access request at the operating system level (using kernel taps, or “ktaps”), the mechanism matches which application requests map to which database requests. With this matching, the database requests can be tagged with the user credentials which are known through the application request.

摘要翻译： 多层属性跟踪机制识别最终用户凭据和其他客户端信息和属性，并将其分配给应用程序服务器体系结构中的数据库请求。 所公开的配置标识由操作系统分配的处理单元或线程，以在应用层对来自用户的传入请求进行服务。 用户与线程的匹配允许连续的线程活动被映射回发起用户。 在应用程序级别（“服务器轻击”或“数据库”）的常规拦截数据库访问尝试仅将数据库用户（数据库中的帐户）和相关连接标识为负责用户。 通过在操作系统级别拦截或“敲击”访问请求（使用内核分接头或“ktaps”），该机制将哪个应用程序请求映射到哪个数据库请求。 通过这种匹配，数据库请求可以通过应用程序请求已知的用户凭据进行标记。

公开(公告)号：US09760571B1

公开(公告)日：2017-09-12

申请号：US14338634

申请日：2014-07-23

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F17/30

CPC分类号： G06F17/30011

摘要： A tabular (relational) DB interface is responsive to SQL commands for accessing unstructured data bases. An application receives a relational data command or query and maps fields from the relational query to fields in an unstructured data store including documents arranged in a hierarchy and unbounded by fixed types or field lengths. The application generates field names by concatenating nested hierarchy field names to define unique “flat file” field names in a tabular form. The application generates a catalog defining the mapping which is used as metadata for accessing the unstructured data to satisfy the relational query. Use of the metadata avoids copying or translating the unstructured data store to a tabular form because the unstructured data collection remains unmodified, and is accessed via the catalog.

公开(公告)号：US20210209303A1

公开(公告)日：2021-07-08

申请号：US17208345

申请日：2021-03-22

申请人： Ron Ben-Natan ,  Derek DiFilippo ,  Uri Hershenhorn ,  Roman Krashanitsa ,  Luigi Labigalini ,  Ury Segal

发明人： Ron Ben-Natan ,  Derek DiFilippo ,  Uri Hershenhorn ,  Roman Krashanitsa ,  Luigi Labigalini ,  Ury Segal

IPC分类号： G06F40/284 ,  G06F16/28 ,  G06N20/20 ,  G06F40/216 ,  G06F40/242

摘要： A log message classifier employs machine learning for identifying a corresponding parser for interpreting the incoming log message and for retraining a classification logic model processing the incoming log messages. Voluminous log messages generate a large amount of data, typically in a text form. Data fields are parseable from the message by a parser that knows a format of the message. The classification logic is trained by a set of messages having a known format for defining groups of messages recognizable by a corresponding parser. The classification logic is defined by a random forest that outputs a corresponding group and confidence value for each incoming message. Groups may be split to define new groups based on a recurring matching tail (latter portion) of the incoming messages. A trend of decreased confidence scores triggers a periodic retraining of the random forest, and may also generate an alert to operators.

公开(公告)号：US10956672B1

公开(公告)日：2021-03-23

申请号：US16225038

申请日：2018-12-19

申请人： Ron Ben-Natan ,  Derek Difilippo ,  Uri Hershenhorn ,  Roman Krashanitsa ,  Luigi Labigalini ,  Ury Segal

发明人： Ron Ben-Natan ,  Derek Difilippo ,  Uri Hershenhorn ,  Roman Krashanitsa ,  Luigi Labigalini ,  Ury Segal

IPC分类号： G06F7/00 ,  G06F40/284 ,  G06F16/28 ,  G06N20/20 ,  G06F40/216 ,  G06F40/242

摘要： A log message classifier employs machine learning for identifying a corresponding parser for interpreting the incoming log message and for retraining a classification logic model processing the incoming log messages. Voluminous log messages generate a large amount of data, typically in a text form. Data fields are parseable from the message by a parser that knows a format of the message. The classification logic is trained by a set of messages having a known format for defining groups of messages recognizable by a corresponding parser. The classification logic is defined by a random forest that outputs a corresponding group and confidence value for each incoming message. Groups may be split to define new groups based on a recurring matching tail (latter portion) of the incoming messages. A trend of decreased confidence scores triggers a periodic retraining of the random forest, and may also generate an alert to operators.

公开(公告)号：US09830369B1

公开(公告)日：2017-11-28

申请号：US14276135

申请日：2014-05-13

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F17/30

CPC分类号： G06F17/30569 ,  G06F9/50 ,  G06F17/30312 ,  G06F17/30519

摘要： An analytics processing system generates analytics from a collection of unstructured data by. transforming a received source of input data from an unstructured database into a delimiterless form, and iteratively moving portions of the delimiterlesss input data from a solid-state memory to a shared memory adapted for parallel operations with a plurality of GPU cores. The method stores computational data, such as values for matching, in a high speed memory responsive to operations with the shared memory, in which the high-speed memory remains static for the duration of the iterations. A host CPU invokes the plurality of cores for performing the parallel operations on the computational data and the portions of the delimiterless input data, and stores a result in a general memory accessible from a graphical user interface (GUI). The GPU cores parallelize the matching task of the input data from the unstructured database against the match data.

公开(公告)号：US20100132024A1

公开(公告)日：2010-05-27

申请号：US11642432

申请日：2006-12-20

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F15/16 ,  G06F17/30 ,  H04L9/32 ,  G06F9/46

CPC分类号： G06F9/545 ,  G06F2209/542

摘要： A multi-tier attribute tracking mechanism provides the ability to identify the end user credentials and other client information and attributes and assign them to database requests in an application server architecture. Disclosed configurations identify the processing unit, or thread, assigned by the operating system to service the incoming request from the user at the application tier. A matching of users to threads allows successive thread activity to be mapped back to the initiating user. Conventional interception of database access attempts at the application level (so called “server taps,” or staps) identified only the database user (the account in the database) and associated connection as the responsible user. By intercepting, or “tapping” the access request at the operating system level (using so-called kernel taps, or “ktaps”), the mechanism matches which application requests map to which database requests. With this matching, the database requests can be tagged with the user credentials which are known through the application request.

摘要翻译： 多层属性跟踪机制提供了识别最终用户凭据和其他客户端信息和属性的能力，并将其分配给应用程序服务器体系结构中的数据库请求。 所公开的配置标识由操作系统分配的处理单元或线程，以在应用层对来自用户的传入请求进行服务。 用户与线程的匹配允许连续的线程活动被映射回发起用户。 在应用程序级（即所谓的“服务器分接”或“数据库”）的数据库访问尝试的常规拦截仅将数据库用户（数据库中的帐户）和相关连接标识为负责用户。 通过在操作系统级别拦截或“敲击”访问请求（使用所谓的内核抽头或“ktaps”），该机制将匹配哪个应用程序请求映射到哪个数据库请求。 通过这种匹配，数据库请求可以通过应用程序请求已知的用户凭据进行标记。

公开(公告)号：US11144580B1

公开(公告)日：2021-10-12

申请号：US14304497

申请日：2014-06-13

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F16/35

摘要： Data storage for unstructured data such as JSON data stored as collections of documents transforms the JSON data into a columnar form of storing unstructured data by grouping similar fields together for facilitating retrieval of the individual fields from a range of documents. Groups of fields are stored in individual files for each field. Compound data such as arrays and subdocuments are also broken down into files for each atomic field. In other words, a compound document structure that defines a hierarchy or “tree” of fields is flattened such that each “leaf” of the tree is stored in a separate file.

公开(公告)号：US10373058B1

公开(公告)日：2019-08-06

申请号：US14264413

申请日：2014-04-29

申请人： Ron Ben-Natan ,  Ury Segal

发明人： Ron Ben-Natan ,  Ury Segal

IPC分类号： G06F17/00 ,  G06N5/02 ,  G06F16/338 ,  G06F16/33

摘要： An analytics processing system generates analytics from a collection of unstructured data by identifying trends in the data and deriving associations or correlations between series of values. Each series is generated from a set of field labeled values in the set, and compared to other series in the collection. Identified relationships in the series are scored based on depiction of an illustrative, predictive, or non-random association, and ranked by a scoring metric for analytical value. A visualization of the relationships are ranked and rendered such that the visualization highlights the association in a manner not achievable by simple inspection of the field values. Relationships are graphed by lines, circles, bars (histogram) on labeled axes based on the series. In this manner, a user may generate analytic results from a large data set, and pinpoint significant associations by paging through renderings scored as the most illustrative of notable trends.