发明授权
- 专利标题： Detecting threats in big data platforms based on call trace and memory access patterns
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申请号： US15881020申请日： 2018-01-26
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公开(公告)号： US10678907B2公开(公告)日： 2020-06-09
- 发明人: Santosh K. Aditham , Nagarajan Ranganathan
- 申请人： Santosh K. Aditham , Nagarajan Ranganathan
- 申请人地址： US FL Tampa
- 专利权人： University of South Florida
- 当前专利权人： University of South Florida
- 当前专利权人地址： US FL Tampa
- 代理机构： Thomas | Horstemeyer, LLP
- 主分类号： G06F21/52
- IPC分类号： G06F21/52 ; G06F21/57 ; G06F21/55 ; G06F21/31
摘要：
A runtime attack can be detected on a big data system while processes are executed on various computing devices. A behavior profile can be maintained for tasks or processes running on different computing devices. The existence of a call variance in one of the traces for one of the behavior profiles can be determined. A memory variance can also be detected in one of the behavior profiles. A runtime attack has occurred when both the memory variance and the call variance are determined to exist.
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