Invention Grant
- Patent Title: Detecting threats in big data platforms based on call trace and memory access patterns
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Application No.: US15881020Application Date: 2018-01-26
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Publication No.: US10678907B2Publication Date: 2020-06-09
- Inventor: Santosh K. Aditham , Nagarajan Ranganathan
- Applicant: Santosh K. Aditham , Nagarajan Ranganathan
- Applicant Address: US FL Tampa
- Assignee: University of South Florida
- Current Assignee: University of South Florida
- Current Assignee Address: US FL Tampa
- Agency: Thomas | Horstemeyer, LLP
- Main IPC: G06F21/52
- IPC: G06F21/52 ; G06F21/57 ; G06F21/55 ; G06F21/31
Abstract:
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.
Public/Granted literature
- US20180211033A1 DETECTING THREATS IN BIG DATA PLATFORMS BASED ON CALL TRACE AND MEMORY ACCESS PATTERNS Public/Granted day:2018-07-26
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