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公开(公告)号:EP4430475A1
公开(公告)日:2024-09-18
申请号:EP22814252.7
申请日:2022-10-28
CPC分类号: G06F11/0709 , G06F11/0793 , G06F11/3006 , G06F11/302 , G06F11/3089 , G06F11/3414 , G06F11/3466 , G06F2201/86520130101 , G06F2201/8620130101 , G06F2201/87520130101
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公开(公告)号:EP4369204A1
公开(公告)日:2024-05-15
申请号:EP23206341.2
申请日:2023-10-27
发明人: PAPILLON, Serge , LIMONTA, Gabriela , EL ABED, Haithem , BOUTIGNY, Francois , MENSAH, Pernelle Cathel Sika
CPC分类号: G06F2201/8620130101 , G06F2201/86520130101 , G06F11/3476 , G06F11/3612 , G06F11/079 , G06F11/3636 , G06F21/55 , G06N20/00
摘要: Example embodiments of the present disclosure relate to graph comparison-based behavior analysis. A plurality of score trends is determined between a target graph corresponding to execution of an application and a plurality of reference graph associated with a plurality of behaviors of the application. A graph comprises nodes and edges. A node represents an inferred state during an event and retains a timestamp of occurrence of the corresponding event. An edge represents a transition between states represented by the nodes. A first reference graph is determined based on the plurality of score trends. The first reference graph matches with at least a part of the target graph corresponding to a first period of time during the execution of the application. A behavior analysis result is provided which indicates that the application performs a first behavior associated with the first reference graph during the first period of time.
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公开(公告)号:EP3997575B1
公开(公告)日:2024-04-17
申请号:EP20751744.2
申请日:2020-06-12
CPC分类号: G06F11/0709 , G06F11/0778 , G06F11/0751 , G06F11/3072 , G06F11/3006 , G06F2201/8620130101
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公开(公告)号:EP4020216B1
公开(公告)日:2024-08-14
申请号:EP21197633.7
申请日:2021-09-20
IPC分类号: G06F11/34 , G01R31/3185 , G06F11/30
CPC分类号: G06F11/3409 , G06F11/348 , G06F11/3476 , G06F2201/8620130101 , G06F11/3003
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公开(公告)号:EP3113002B1
公开(公告)日:2024-08-07
申请号:EP15876616.2
申请日:2015-08-26
IPC分类号: G06F9/451 , G06F3/0481 , G06F11/34
CPC分类号: G06F9/453 , G06F3/0481 , G06F11/3438 , G06F2201/8620130101
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公开(公告)号:EP4443296A1
公开(公告)日:2024-10-09
申请号:EP22914443.1
申请日:2022-12-21
发明人: HAN, Yuankun , SHI, Hongyu , WANG, Yang , DAI, Feiping , HUANG, Yu
IPC分类号: G06F9/54 , G06F16/9532 , G06F16/2455 , G06F16/242 , H04L67/12 , F24F11/64 , F24F11/80
CPC分类号: F24F11/64 , F24F11/80 , G06F16/242 , G06F16/2455 , G06F16/9532 , H04L67/12 , G06F9/542 , G06F11/3072 , G06F2201/8620130101
摘要: This application provides an event processing method, applied to filtering of events in a server. The method includes: matching a to-be-filtered event against an event matching rule, where the event matching rule is used for performing filtering to obtain an event that meets one or more first conditions and one or more second conditions, and the second condition indicates duration or repeatability of the one or more first conditions; and sending an instruction to a destination address when the to-be-filtered event meets the event matching rule. The event processing method provided in this application supports condition rule configuration of duration or repeatability, for example, a timing rule or a count rule. This increases event rule configuration types, and the rule has high extensibility, so that events in a complex Internet of things scenario can be effectively filtered.
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公开(公告)号:EP3362902B1
公开(公告)日:2024-08-28
申请号:EP16787966.7
申请日:2016-10-10
IPC分类号: G06F11/30
CPC分类号: G06F11/3006 , G06F11/3072 , G06F11/3082 , G06F2201/8620130101 , G06F2201/86520130101 , G06F16/22 , G06F16/2379
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公开(公告)号:EP4390703A1
公开(公告)日:2024-06-26
申请号:EP23216710.6
申请日:2023-12-14
CPC分类号: G06F11/3452 , G06F2201/8120130101 , G06F11/0754 , G06F2201/8620130101 , G06N20/00
摘要: The present disclosure is related to the field of threshold generation where complex temporal and spatial behavior of metrics are modelled to define normal operating baseline of every component in a system environment. Embodiments of the present disclosure provide methods and systems for generation and optimization of metric threshold for anomaly detection. In the present disclosure, temporal properties such as variation, behavioral patterns of a plurality of metrics are derived. The derived temporal properties are used to generate data-driven and domain-aware static or dynamic thresholds. Additionally, the present disclosure factors spatial and temporal properties collectively to mine a role of influencing metrics and define composite thresholds. In order to cater to dynamic behavior of the system environment and changes in business and technological aspects, the system and method of the present disclosure self-learns, self-tunes, and adapts itself based on user feedback which helps in capturing tacit knowledge of domain experts.
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公开(公告)号:EP4381392A1
公开(公告)日:2024-06-12
申请号:EP22747847.6
申请日:2022-06-28
发明人: BANSAL, Gunjan , KUMAR, Niteesh
CPC分类号: G06F11/3006 , G06F11/302 , G06F11/3476 , G06F2201/86520130101 , G06F2201/8620130101 , G06F17/40
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