Method for predicating whether user has malicious behavior and calculation device

The invention discloses a method for predicating whether a user has a malicious behavior based on a user relation graph. The method is suitable for being executed in a calculation device. The user relation graph comprises nodes and edges for connecting associated nodes. The method comprises the foll...

Full description

Saved in:
Bibliographic Details
Main Author CAI ZIBIN
Format Patent
LanguageChinese
English
Published 03.10.2017
Subjects
Online AccessGet full text

Cover

Loading…
Abstract The invention discloses a method for predicating whether a user has a malicious behavior based on a user relation graph. The method is suitable for being executed in a calculation device. The user relation graph comprises nodes and edges for connecting associated nodes. The method comprises the following steps: obtaining user data of a user; updating the user relation graph according to the obtained user data; according to the user relation graph, judging whether the user is matched with preset abnormal modes; according to the matched abnormal mode and a probability value corresponding to the abnormal mode, calculating malicious probability of the user; and predicating that the user, the malicious probability of which is within a preset value interval, has the malicious behavior. The invention also discloses the corresponding calculation device and a computer readable storage medium. 本发明公开了种基于用户关系图来预测用户是否存在恶意行为的方法,适于在计算设备中执行,用户关系图包括节点和连接关联节点的边,该方法包括步骤:获取用户的用户数据;根据所获取的用户数据来更新用户关系图;根据用户关系图,判断用户是否与预置的异常模式相匹配;根据所
AbstractList The invention discloses a method for predicating whether a user has a malicious behavior based on a user relation graph. The method is suitable for being executed in a calculation device. The user relation graph comprises nodes and edges for connecting associated nodes. The method comprises the following steps: obtaining user data of a user; updating the user relation graph according to the obtained user data; according to the user relation graph, judging whether the user is matched with preset abnormal modes; according to the matched abnormal mode and a probability value corresponding to the abnormal mode, calculating malicious probability of the user; and predicating that the user, the malicious probability of which is within a preset value interval, has the malicious behavior. The invention also discloses the corresponding calculation device and a computer readable storage medium. 本发明公开了种基于用户关系图来预测用户是否存在恶意行为的方法,适于在计算设备中执行,用户关系图包括节点和连接关联节点的边,该方法包括步骤:获取用户的用户数据;根据所获取的用户数据来更新用户关系图;根据用户关系图,判断用户是否与预置的异常模式相匹配;根据所
Author CAI ZIBIN
Author_xml – fullname: CAI ZIBIN
BookMark eNqNi00KwjAQRrPQhX93GA8g2IpIl1IUNwqC-zJOpmYgJiFJ6_XNwgO4-R483jdXE-cdz9T9ytl4Db2PECJrIcziXvAxxXOEIZUxmOCNVkj8kODJBkcpPToNhJYGWz7egeZRiJdq2qNNvPpxodbn06O9bDj4jlNAYse5a2_V9lDXTbOvjrt_mi8hVDmq
ContentType Patent
DBID EVB
DatabaseName esp@cenet
DatabaseTitleList
Database_xml – sequence: 1
  dbid: EVB
  name: esp@cenet
  url: http://worldwide.espacenet.com/singleLineSearch?locale=en_EP
  sourceTypes: Open Access Repository
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
Sciences
Physics
DocumentTitleAlternate 预测用户是否存在恶意行为的方法和计算设备
ExternalDocumentID CN107229951A
GroupedDBID EVB
ID FETCH-epo_espacenet_CN107229951A3
IEDL.DBID EVB
IngestDate Fri Jul 19 14:51:26 EDT 2024
IsOpenAccess true
IsPeerReviewed false
IsScholarly false
Language Chinese
English
LinkModel DirectLink
MergedId FETCHMERGED-epo_espacenet_CN107229951A3
Notes Application Number: CN201710398236
OpenAccessLink https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20171003&DB=EPODOC&CC=CN&NR=107229951A
ParticipantIDs epo_espacenet_CN107229951A
PublicationCentury 2000
PublicationDate 20171003
PublicationDateYYYYMMDD 2017-10-03
PublicationDate_xml – month: 10
  year: 2017
  text: 20171003
  day: 03
PublicationDecade 2010
PublicationYear 2017
RelatedCompanies BEIJING KNOWN CHUANGYU INFORMATION TECHNOLOGY CO., LTD
RelatedCompanies_xml – name: BEIJING KNOWN CHUANGYU INFORMATION TECHNOLOGY CO., LTD
Score 3.2058191
Snippet The invention discloses a method for predicating whether a user has a malicious behavior based on a user relation graph. The method is suitable for being...
SourceID epo
SourceType Open Access Repository
SubjectTerms CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Title Method for predicating whether user has malicious behavior and calculation device
URI https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20171003&DB=EPODOC&locale=&CC=CN&NR=107229951A
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1bS8MwFD7MeX3Tqui8EEH6Vux62dqHIi5tGUK7KVP2Ntosowp2Za0M_PWehNb5oq8JhOSEc_Il-c53AG6d1OXoQ1zr8wXXLMZMDXGzrblukrgmdxxXCphGcW_4Yj1O7WkL3ptcGKkTupbiiOhRDP29kvG62Dxi-ZJbWd6lb9i0vA8nnq_Wt-Ou0KoxVX_gBeORP6IqpR6N1fhZ1FY1MPLa3Yct2BYwWujsB68DkZVS_D5SwkPYGeNoeXUEra9MgX3aVF5TYC-qP7wV2JUMTVZiY-2F5TE8RbLsM0G8SYqV_GkR5GWyzmT2LhEPDyRLSvKBIJsJkitpsvFJks8Jbgurq3aROReh4gRuwmBChxrOcvZjkhmNNwsyT6GdL3N-BsTQe4mjmwjSFnhxs_opt7jNdO4yZjNu2OfQ-Xuczn-dF3AgzCtpbOYltKvVJ7_C47hKr6UdvwHDD496
link.rule.ids 230,309,786,891,25594,76906
linkProvider European Patent Office
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3fS8MwED7m_DHftCo6f0WQvhW7td3ahyIu3Zi6dlOq7G20WUYV7MZaGfjXewmt80VfEwjJhbt8Sb77DuDajh2OPsS1Np9xzWTM0BA3W5rjRJFjcNt2pICpH7T6L-bD2BpX4L3MhZE6oSspjogexdDfcxmvF-tHLE9yK7Ob-A2b5re90PXU4nbcEFo1hup13O5o6A2pSqlLAzV4FrVVmxh5rcbdBmy2hTqvgE6vHZGVsvh9pPT2YGuEo6X5PlS-EgVqtKy8psCOX3x4K7AtGZosw8bCC7MDePJl2WeCeJMslvKnRZCXySqR2btEPDyQJMrIB4JsJkiupMzGJ1E6JbgtrKjaRaZchIpDuOp1Q9rXcJaTH5NMaLBekHEE1XSe8mMgTb0V2bqBIG2GFzezHXOTW0znDmMW403rBOp_j1P_r_MSav3QH0wG98HjKewKU0tKm3EG1Xz5yc_xaM7jC2nTb6I1kmc
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Apatent&rft.title=Method+for+predicating+whether+user+has+malicious+behavior+and+calculation+device&rft.inventor=CAI+ZIBIN&rft.date=2017-10-03&rft.externalDBID=A&rft.externalDocID=CN107229951A