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文章基本信息

  • 标题:How Bigdata Analytics and Machine Learning can help in Social Engineering (Phishing)
  • 本地全文:下载
  • 作者:Govind Singh Mahara
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:8
  • 页码:7407-7412
  • DOI:10.15680/IJIRCCE.2018. 0608003
  • 出版社:S&S Publications
  • 摘要:The social engineering attacks are the critical area for cybersecuritynowadays, this is most common and easy ways to enter personal account and get things, social engineering is a way of using technologies by a human on the human. WIFI is once is the most Insecure system for this purpose because your devices get connected and another activity of syncing happens automatically. In this tries to explain how the social engineering attacks are serious to organizations. Social engineering is done by adds and emails, familiarity exploit. Gathering & using information, pretexting. baiting. Tailgating.
  • 关键词:Social Engineering; Phishing; Machine Learning; Cyber threats; Bigdata; Fraud; Hacking
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