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  • 标题:Detecting Compromised Accounts in Online Social Networks by Analysing Social Behavior
  • 本地全文:下载
  • 作者:Mursidha Nasreen ; Jaseela Jasmin TK
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2018
  • 卷号:7
  • 期号:3
  • 页码:2867
  • DOI:10.15680/IJIRSET.2018.0703145
  • 出版社:S&S Publications
  • 摘要:Account Compromization is a serious threat to users of online social networks. Relentless spammersexploit the established trust relationships between account owners and their friends. To better serve users various socialcommunication needs, OSNs provideagreatvarietyofonlinefeaturesfortheiruserstoengagein,suchasbuilding connections,sending messages, uploading photos, browsing friends latest updates, etc. Validate the system by collecting andanalyzing the social behavior. Based on this social behavior the system checks the account is compromised or not. Westudy the social behaviors of OSN users, i.e., their usage of OSN services, and the application of which in detecting thecompromised accounts.
  • 关键词:Online Social Behavior; Privacy; Data analysis; Compromised account detection
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