ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES
The disclosed technology teaches detecting abnormal behavior of a UE mobile device, including a network data analytics function component, in communication with core network components of a cellular network, subscribing to location change-related events that report a change event for a UE device con...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Patent |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | FEDER, Peretz M THUEL, Sandra R |
description | The disclosed technology teaches detecting abnormal behavior of a UE mobile device, including a network data analytics function component, in communication with core network components of a cellular network, subscribing to location change-related events that report a change event for a UE device connection to and/or drop or handover from a cell. Included is analyzing location change-related events to detect abnormal handover behavior when the UE device changes its selection of a base station or cell more than N times in not more than M minutes, and reporting the detected abnormal handover behavior with an identifier of the UE mobile device involved and the involved cell's ID. The technology also applies to a group of UE devices selected for analysis, by device, geography or custom-defined affinity, with selection changes among a set of base stations or neighboring cells, each selected at least twice by the UE device in M minutes. |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US2020396657A1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US2020396657A1</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US2020396657A13</originalsourceid><addsrcrecordid>eNrjZLB2dPLzD_J19FHw9Xfy9PEMiVQIcAwJcQ3yU3BxDXF1DvH091Nw8w9S8PUMdnL1cAzz9HMHyoR5OrsG8zCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-NBgIwMjA2NLMzNTc0dDY-JUAQCXEypv</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES</title><source>esp@cenet</source><creator>FEDER, Peretz M ; THUEL, Sandra R</creator><creatorcontrib>FEDER, Peretz M ; THUEL, Sandra R</creatorcontrib><description>The disclosed technology teaches detecting abnormal behavior of a UE mobile device, including a network data analytics function component, in communication with core network components of a cellular network, subscribing to location change-related events that report a change event for a UE device connection to and/or drop or handover from a cell. Included is analyzing location change-related events to detect abnormal handover behavior when the UE device changes its selection of a base station or cell more than N times in not more than M minutes, and reporting the detected abnormal handover behavior with an identifier of the UE mobile device involved and the involved cell's ID. The technology also applies to a group of UE devices selected for analysis, by device, geography or custom-defined affinity, with selection changes among a set of base stations or neighboring cells, each selected at least twice by the UE device in M minutes.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201217&DB=EPODOC&CC=US&NR=2020396657A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20201217&DB=EPODOC&CC=US&NR=2020396657A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FEDER, Peretz M</creatorcontrib><creatorcontrib>THUEL, Sandra R</creatorcontrib><title>ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES</title><description>The disclosed technology teaches detecting abnormal behavior of a UE mobile device, including a network data analytics function component, in communication with core network components of a cellular network, subscribing to location change-related events that report a change event for a UE device connection to and/or drop or handover from a cell. Included is analyzing location change-related events to detect abnormal handover behavior when the UE device changes its selection of a base station or cell more than N times in not more than M minutes, and reporting the detected abnormal handover behavior with an identifier of the UE mobile device involved and the involved cell's ID. The technology also applies to a group of UE devices selected for analysis, by device, geography or custom-defined affinity, with selection changes among a set of base stations or neighboring cells, each selected at least twice by the UE device in M minutes.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLB2dPLzD_J19FHw9Xfy9PEMiVQIcAwJcQ3yU3BxDXF1DvH091Nw8w9S8PUMdnL1cAzz9HMHyoR5OrsG8zCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSS-NBgIwMjA2NLMzNTc0dDY-JUAQCXEypv</recordid><startdate>20201217</startdate><enddate>20201217</enddate><creator>FEDER, Peretz M</creator><creator>THUEL, Sandra R</creator><scope>EVB</scope></search><sort><creationdate>20201217</creationdate><title>ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES</title><author>FEDER, Peretz M ; THUEL, Sandra R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020396657A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>FEDER, Peretz M</creatorcontrib><creatorcontrib>THUEL, Sandra R</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FEDER, Peretz M</au><au>THUEL, Sandra R</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES</title><date>2020-12-17</date><risdate>2020</risdate><abstract>The disclosed technology teaches detecting abnormal behavior of a UE mobile device, including a network data analytics function component, in communication with core network components of a cellular network, subscribing to location change-related events that report a change event for a UE device connection to and/or drop or handover from a cell. Included is analyzing location change-related events to detect abnormal handover behavior when the UE device changes its selection of a base station or cell more than N times in not more than M minutes, and reporting the detected abnormal handover behavior with an identifier of the UE mobile device involved and the involved cell's ID. The technology also applies to a group of UE devices selected for analysis, by device, geography or custom-defined affinity, with selection changes among a set of base stations or neighboring cells, each selected at least twice by the UE device in M minutes.</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | eng |
recordid | cdi_epo_espacenet_US2020396657A1 |
source | esp@cenet |
subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
title | ABNORMAL MOBILITY PATTERN DETECTION FOR MISBEHAVING DEVICES |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T03%3A30%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=FEDER,%20Peretz%20M&rft.date=2020-12-17&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS2020396657A1%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |