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公开(公告)号:US11012421B2
公开(公告)日:2021-05-18
申请号:US16115069
申请日:2018-08-28
Applicant: Box, Inc.
Inventor: Kave Eshghi
IPC: H04L29/06 , G06N7/00 , G06F16/901
Abstract: Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.
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公开(公告)号:US20240236130A9
公开(公告)日:2024-07-11
申请号:US18492714
申请日:2023-10-23
Applicant: Box, Inc.
Inventor: Kave Eshghi , Victor De Vansa Vikramaratne
IPC: H04L9/40 , H04L67/1097 , H04L67/50
CPC classification number: H04L63/1425 , H04L63/1416 , H04L63/20 , H04L67/1097 , H04L67/535 , G06N20/00
Abstract: Disclosed is an improved systems, methods, and computer program products that performs user behavior analysis to identify malicious behavior in a computing system. The approach may be implemented by generating feature vectors for two time periods, performing scoring, and then performing anomaly detection.
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公开(公告)号:US11941147B2
公开(公告)日:2024-03-26
申请号:US17463372
申请日:2021-08-31
Applicant: Box, Inc.
Inventor: Victor De Vansa Vikramaratne , Kave Eshghi
IPC: G06F21/62
CPC classification number: G06F21/6245
Abstract: Methods, systems, and computer program products for detection of personally identifiable information (PII). A first detector and a second detector are configured to interoperate. The first detector is different from the second detector and the second detector incurs a greater computational cost than the first detector when processing identical content. Content is presented to the first detector so as to implement a first type of PII detection that is based at least in part on regular expression analysis using regular expressions. The content is presented to the second detector. The second detector performs PII detection based on content analysis that is different from the first detector's regular expression analysis. The second detector causes generation of new regular expressions based on the content analysis and the first detector is updated with such new regular expressions. Performance of the first detector is continually improved as new regular expressions are generated.
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公开(公告)号:US11936656B2
公开(公告)日:2024-03-19
申请号:US17163222
申请日:2021-01-29
Applicant: Box, Inc.
Inventor: Victor De Vansa Vikramaratne , Kave Eshghi , David Vengerov
CPC classification number: H04L63/102 , G06F21/6245 , G06F1/329 , G06F9/4881 , H04L2463/082
Abstract: Content object operations over content objects of a content management system are prioritized to be performed immediately, or at a later time. The immediate scheduling of an operation is determined by policies, rules, and/or predictive model outcomes. The determination for later time scheduling is based on analysis of a history of events on content objects. If the content object operation is deemed to be at least potentially delayable to a later time, then a scheduling model is consulted to determine an urgency of performing the content object operation on the content object. The urgency value resulting from consulting the scheduling model is combined with then-current resource availability to determine a timeframe for performance of the content object operation on the content object relative to other entries in a continuously updated list of to-be-performed operations. The performance of the content object operation on the content object is initiated in due course.
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公开(公告)号:US11928425B2
公开(公告)日:2024-03-12
申请号:US16948831
申请日:2020-10-01
Applicant: Box, Inc.
Inventor: Kave Eshghi , Victor De Vansa Vikramaratne
IPC: G06F40/186 , G06F16/14 , G06F16/16
CPC classification number: G06F40/186 , G06F16/14 , G06F16/164
Abstract: Methods, systems and computer program products for content management systems. A content management system is configured to manage a plurality of content objects. Unsupervised learning is performed over the plurality of content objects to identify document templates associated with content objects taken from the plurality of content objects. When a document template is identified, template metadata is associated with the document template. Additional content objects that are similar to the document template can take on the template metadata. In this way, many documents can be automatically populated with template metadata that corresponds to the identified document template. All or portions of the template metadata can be applied to policies, which policies serve to marshal ongoing document handling operations. During learning, document features are extracted and analyzed so as to define feature clusters, which feature clusters are in turn are used to form document template clusters.
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公开(公告)号:US20230244811A1
公开(公告)日:2023-08-03
申请号:US17589610
申请日:2022-01-31
Applicant: Box, Inc.
Inventor: Victor De Vansa Vikramaratne , Kave Eshghi , Thuy Nguyen , Alok Ojha
CPC classification number: G06F21/6245 , G06F21/6272 , G06F16/93
Abstract: Handling user-demanded privacy controls over data of an electronic document collaboration system. A storage facility is configured to store content objects and associated metadata that pertains to the content objects. A user raises a privacy action request that comprises a demand to change how certain content objects that contain personally identifiable information (PII) of the user are handled. A plurality of content objects are classified using a PII classifier that is trained using synthetically-generated training set entries where, rather than reading actual contents from electronic documents of the collaboration system to generate training set entries, instead, the training set entries are generated using words that are randomly selected from a repository of natural language words. When PII corresponding to the user who raised the privacy action request is discovered in content objects, then the content management system modifies those content objects and/or its metadata in accordance with the demand.
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公开(公告)号:US20210273908A1
公开(公告)日:2021-09-02
申请号:US17322360
申请日:2021-05-17
Applicant: Box, Inc.
Inventor: Kave Eshghi
IPC: H04L29/06 , G06N7/00 , G06F16/901
Abstract: Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.
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公开(公告)号:US20240314135A1
公开(公告)日:2024-09-19
申请号:US18439680
申请日:2024-02-12
Applicant: Box, Inc.
Inventor: Victor De Vansa Vikramaratne , Kave Eshghi , David Vengerov
CPC classification number: H04L63/102 , G06F21/6245 , G06F1/329 , G06F9/4881 , H04L2463/082
Abstract: Content object operations over content objects of a content management system are prioritized to be performed immediately, or at a later time. The immediate scheduling of an operation is determined by policies, rules, and/or predictive model outcomes. The determination for later time scheduling is based on analysis of a history of events on content objects. If the content object operation is deemed to be at least potentially delayable to a later time, then a scheduling model is consulted to determine an urgency of performing the content object operation on the content object. The urgency value resulting from consulting the scheduling model is combined with then-current resource availability to determine a timeframe for performance of the content object operation on the content object relative to other entries in a continuously updated list of to-be-performed operations. The performance of the content object operation on the content object is initiated in due course.
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公开(公告)号:US20240163258A1
公开(公告)日:2024-05-16
申请号:US18492727
申请日:2023-10-23
Applicant: Box, Inc.
Inventor: Kave Eshghi
IPC: H04L9/40 , G06F16/901 , G06N7/01
CPC classification number: H04L63/029 , G06F16/9024 , G06N7/01 , H04L63/1425
Abstract: Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.
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公开(公告)号:US11799890B2
公开(公告)日:2023-10-24
申请号:US16948779
申请日:2020-09-30
Applicant: Box, Inc.
Inventor: Kave Eshghi , Victor De Vansa Vikramaratne
IPC: H04L9/40 , H04L67/1097 , H04L67/50 , G06N20/00
CPC classification number: H04L63/1425 , H04L63/1416 , H04L63/20 , H04L67/1097 , H04L67/535 , G06N20/00
Abstract: Disclosed is an improved systems, methods, and computer program products that performs user behavior analysis to identify malicious behavior in a computing system. The approach may be implemented by generating feature vectors for two time periods, performing scoring, and then performing anomaly detection.
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