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公开(公告)号：US11616879B2
公开(公告)日：2023-03-28
申请号：US17834132
申请日：2022-06-07
申请人： AO Kaspersky Lab
摘要： Disclosed herein are systems and methods for handling unwanted telephone calls through a branching node. In one aspect, an exemplary method comprises, intercepting a call request from a terminal device of a calling party to a terminal device of a called party, establishing a connection through the branching node via two different communication channels, a first communication channel being with the terminal device of the called party and a second communication channel being with a call recorder; duplicating media data between the terminal devices such that one data stream is directed towards a receiving device of the media data and a second data stream is directed towards the call recorder; recording and sending the recorded call to an automatic speech recognizer for converting the media file to digital information suitable for analysis; and when the call is unwanted, handling the call based on classification of the call.
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公开(公告)号：US20220303388A1
公开(公告)日：2022-09-22
申请号：US17834132
申请日：2022-06-07
申请人： AO Kaspersky Lab
摘要： Disclosed herein are systems and methods for handling unwanted telephone calls through a branching node. In one aspect, an exemplary method comprises, intercepting a call request from a terminal device of a calling party to a terminal device of a called party, establishing a connection through the branching node via two different communication channels, a first communication channel being with the terminal device of the called party and a second communication channel being with a call recorder; duplicating media data between the terminal devices such that one data stream is directed towards a receiving device of the media data and a second data stream is directed towards the call recorder; recording and sending the recorded call to an automatic speech recognizer for converting the media file to digital information suitable for analysis; and when the call is unwanted, handling the call based on classification of the call.
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公开(公告)号：US20220094784A1
公开(公告)日：2022-03-24
申请号：US17335123
申请日：2021-06-01
申请人： AO Kaspersky Lab
摘要： Disclosed herein are systems and methods for handling unwanted telephone calls. In one aspect, an exemplary method comprises, intercepting a call request for a call from a terminal device of a calling party to a terminal device of a called party, generating a call recording containing media data transmitted within a connection established by the intercepted call request, determining attributes of the generated call recording, classifying the call as an unwanted call based on the determined attributes, wherein the classification is performed by a classifier trained on previously collected unwanted calls, and wherein the call is classified as unwanted when the attributes belong to an unwanted call class that is known, and handling the call in accordance with the classification of the call, the handling including at least securing information of the call.
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公开(公告)号：US20210400491A1
公开(公告)日：2021-12-23
申请号：US17332174
申请日：2021-05-27
申请人： AO Kaspersky Lab
IPC分类号： H04W12/122 , G06N20/00 , G06N5/04
摘要： A method for classifying incoming events includes intercepting an incoming event received by a mobile device. The content of the intercepted event is analyzed to determine one or more attributes of the intercepted event. The intercepted event is compared to a plurality of previously collected and classified events, stored in an event repository, based on the one or more determined attributes to identify one or more similar events. A rating of each of the one or more similar events is determined. The rating characterizes probability that the corresponding event belongs to a particular class. The intercepted event is classified as undesirable on the mobile device if the rating value of the one or more similar events is less than a predetermined threshold value.
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5.发明公开公开(公告)号：US20240276225A1
公开(公告)日：2024-08-15
申请号：US18644392
申请日：2024-04-24
申请人： AO Kaspersky Lab
IPC分类号： H04W12/122 , G06N5/04 , G06N20/00
CPC分类号： H04W12/122 , G06N5/04 , G06N20/00
摘要： Disclosed herein are methods and systems for classifying incoming events by user's mobile device based on user preferences. In one aspect, an exemplary method comprises: intercepting an incoming event received by a mobile device, analyzing content of the intercepted event to determine one or more attributes of the intercepted event, comparing the intercepted event to a plurality of previously collected and classified events, stored in an event repository, based on the one or more determined attributes to identify one or more similar events, determining a rating value of the one or more similar events based on a matrix of user preferences, wherein the rating value indicates probability that the corresponding event belongs to a particular class of events, and classifying the intercepted event as undesirable on the mobile device if the rating value of the one or more similar events is less than a predetermined threshold value.
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公开(公告)号：US20240171675A1
公开(公告)日：2024-05-23
申请号：US18360898
申请日：2023-07-28
申请人： AO Kaspersky Lab
CPC分类号： H04M3/42059 , H04M3/436
摘要： Disclosed herein are systems and methods for recognizing undesirable calls on a remote device. In one aspect, an exemplary method comprises, generating, for each call, a call identifier from a probabilistic hash received from a secure device, the probabilistic hash having been computed by the secure device based on a unique call identifier associated with call data collected for the call; analyzing the generated call identifiers to identify at least one of the generated call identifiers as a suspicious call identifier; requesting data, from the secure device associated with the suspicious call identifiers, where the requested data includes at least information about the call associated with the suspicious call identifier; and analyzing data received in response to the request and recognizing suspicious call identifier and the call associated with the suspicious call identifier as undesirable based on the analysis of the data received in response to the request.
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公开(公告)号：US11388286B2
公开(公告)日：2022-07-12
申请号：US17335123
申请日：2021-06-01
申请人： AO Kaspersky Lab
摘要： Disclosed herein are systems and methods for handling unwanted telephone calls. In one aspect, an exemplary method comprises, intercepting a call request for a call from a terminal device of a calling party to a terminal device of a called party, generating a call recording containing media data transmitted within a connection established by the intercepted call request, determining attributes of the generated call recording, classifying the call as an unwanted call based on the determined attributes, wherein the classification is performed by a classifier trained on previously collected unwanted calls, and wherein the call is classified as unwanted when the attributes belong to an unwanted call class that is known, and handling the call in accordance with the classification of the call, the handling including at least securing information of the call.
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公开(公告)号：US20240195913A1
公开(公告)日：2024-06-13
申请号：US18360997
申请日：2023-07-28
申请人： AO Kaspersky Lab
IPC分类号： H04M3/436 , G06F40/242
CPC分类号： H04M3/436 , G06F40/242 , H04M2203/651
摘要： Disclosed herein are systems and methods for classifying calls on a remote device. In one aspect, an exemplary method comprises, collecting call data for each call, wherein each call is associated with a unique call identifier, extracting significant features from the collected call data, generating a call classification model based on the extracted significant features, wherein the call classification model comprises a set of rules based on which a predetermined call class is assigned to the call, extracting a text review from the collected call data, generating a generative review model based on the extracted text review, the generative review model used for correlating text reviews with a call class, and classifying the call for which the call data was collected based on the call classification model generated and the generative review model.
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公开(公告)号：US11997494B2
公开(公告)日：2024-05-28
申请号：US17332174
申请日：2021-05-27
申请人： AO Kaspersky Lab
IPC分类号： H04L29/06 , G06N5/04 , G06N20/00 , H04W12/122
CPC分类号： H04W12/122 , G06N5/04 , G06N20/00
摘要： A method for classifying incoming events includes intercepting an incoming event received by a mobile device. The content of the intercepted event is analyzed to determine one or more attributes of the intercepted event. The intercepted event is compared to a plurality of previously collected and classified events, stored in an event repository, based on the one or more determined attributes to identify one or more similar events. A rating of each of the one or more similar events is determined. The rating characterizes probability that the corresponding event belongs to a particular class. The intercepted event is classified as undesirable on the mobile device if the rating value of the one or more similar events is less than a predetermined threshold value.
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