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公开(公告)号:EP4418611A1
公开(公告)日:2024-08-21
申请号:EP23157063.1
申请日:2023-02-16
CPC分类号: H04L63/145 , H04L63/1425 , G06N3/02 , G06N3/045
摘要: A method for identifying computer nodes comprising malware in a computer network. The method comprises receiving a graph relating to a computer network; processing, by a neural network, the received graph; identifying, by the neural network, a subgraph of the received graph. The identified subgraph comprises an indication of a plurality of computer nodes of the network traffic data that are infected with malware, and a label indicating a type of malware infecting the indicated computer nodes.
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公开(公告)号:EP4409846A1
公开(公告)日:2024-08-07
申请号:EP22790304.4
申请日:2022-09-20
IPC分类号: H04L12/18
CPC分类号: H04L12/1886
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公开(公告)号:EP4407497A1
公开(公告)日:2024-07-31
申请号:EP23150284.0
申请日:2023-01-24
CPC分类号: H04L63/0407 , G06F21/6254
摘要: A computer-implemented method is provided for performing privacy controlled data analytics. The method is performed by a computer system configured to provide incoming anonymized data to a plurality of different analysis functions for analyzing the data, each analysis function having its own set of requirements for data attributes that need to be available in the incoming data, the incoming data originating from a plurality of data sources and being anonymized by applying one or more of a plurality of predetermined anonymization protocols. The method comprises: determining one or more attributes present in the incoming data that will be processed by the computer system; determining the analysis functions that are capable of being implemented based on the determined one or more attributes of the incoming data and the data attribute requirements for the analysis functions; determining the data attributes of the incoming data that can be anonymised whilst preserving data utility based on the requirements of the analysis functions; determining, for each of a plurality of privacy settings, a privacy score and a data utility score, each privacy setting comprising a unique combination of analysis function, anonymization protocol applied to the data, anonymization protocol parameter value and data attribute; receiving input selecting a desired privacy setting; and processing an anonymized set of data, anonymized according to an identified anonymization protocol, according to the analysis function associated with the selected privacy setting. A corresponding computer system and computer program are also provided.
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公开(公告)号:EP4406261A1
公开(公告)日:2024-07-31
申请号:EP22782658.3
申请日:2022-08-23
CPC分类号: H04W12/08 , H04W12/64 , H04L9/3271 , H04L9/0852 , H04W12/63 , H04L9/50
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公开(公告)号:EP4405863A1
公开(公告)日:2024-07-31
申请号:EP22769187.0
申请日:2022-08-24
发明人: ROSCOE, Jonathan , HERCOCK, Robert
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公开(公告)号:EP4405841A1
公开(公告)日:2024-07-31
申请号:EP22769189.6
申请日:2022-08-24
CPC分类号: H04L63/1416 , G06F21/552 , G06F21/577 , G06F2221/03320130101
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公开(公告)号:EP4402859A1
公开(公告)日:2024-07-24
申请号:EP22782662.5
申请日:2022-09-05
发明人: SANI, Sadiq
IPC分类号: H04L9/40
CPC分类号: H04L63/145 , H04L61/4511 , H04L2463/14420130101
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18.
公开(公告)号:EP3824574B1
公开(公告)日:2024-07-24
申请号:EP18743746.2
申请日:2018-07-16
IPC分类号: H04J3/06
CPC分类号: H04J3/0667 , H04J3/0673
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公开(公告)号:EP3935800B1
公开(公告)日:2024-07-17
申请号:EP20706544.2
申请日:2020-03-03
IPC分类号: H04L41/14 , H04L43/062 , H04L9/40 , H04L67/125 , H04W12/00
CPC分类号: H04L67/125 , H04L43/062 , H04L41/145 , H04W12/009 , H04L63/1425
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公开(公告)号:EP4398153A1
公开(公告)日:2024-07-10
申请号:EP23150283.2
申请日:2023-01-04
CPC分类号: G06N3/044 , H04L63/1425
摘要: A computer-implemented method is provided for providing a privacy policy recommendation, the method comprising steps of: retrieving one or more analysis results, each of the one or more analysis results being generated by analysing an input dataset comprising one or more data attributes by performing one or more analytics functions, and each of the one or more data attributes having an anonymised format or a non-anonymised format; determining, for each of the analytics functions, the data attributes of a first type, the data attributes of the first type being a set of the one or more data attributes that need to have non-anonymised formats in order for the corresponding analysis result to have an acceptable level of accuracy and/or quality; and generating the privacy policy recommendation indicating, for each of the analytics function, that the data attributes of the first type need to be in non-anonymised formats. A corresponding computer system and computer program are also provided.
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