Invention Grant
- Patent Title: Hash-based identification of data corruption issues in time-series data
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Application No.: US17384201Application Date: 2021-07-23
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Publication No.: US11640389B2Publication Date: 2023-05-02
- Inventor: Siddharth Asar , Prabakar Rangarajan , Viraj Mohan Kamat
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/23 ; G06F16/22

Abstract:
An apparatus includes a memory and a processor. The memory stores a time-series of data sets, and a first version of a data structure generated from the time-series as it existed at a first time. The data structure includes a bottom level of nodes, and subsequent levels of nodes, ending with a top level terminal node. Each bottom level node stores a hash of an assigned time-series data set. Each node of each subsequent level stores data generated from an assigned group of nodes of a previous level. The processor receives a validation request. In response, the processor generates a second version of the data structure based on the time-series as it exists at a second time. The processor determines that the terminal nodes in the first and second versions of the data structure do not match. In response, the processor generates an alert.
Public/Granted literature
- US20230025284A1 HASH-BASED IDENTIFICATION OF DATA CORRUPTION ISSUES IN TIME-SERIES DATA Public/Granted day:2023-01-26
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