Document Type
Article
Publication Date
June 2020
Patent Number
10678907
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.
Application Number
15/881020
Recommended Citation
Aditham, Santosh K. and Ranganathan, Nagarajan, "Detecting threats in big data platforms based on call trace and memory access patterns" (2020). USF Patents. 1174.
https://digitalcommons.usf.edu/usf_patents/1174
Assignees
University of South Florida
Filing Date
01/26/2018
