Risk measurement driven data protection strategy

US10649857B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10649857-B2
Application numberUS-201715397900-A
CountryUS
Kind codeB2
Filing dateJan 4, 2017
Priority dateJan 4, 2017
Publication dateMay 12, 2020
Grant dateMay 12, 2020

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial conditions, political stability in the region where the data resides, war, terrorist attacks, and the like. The situational factors are retrieved from one or more external modules. The external modules may be IoT (Internet of Things) modules. The external modules are monitored, and as new data from the external modules becomes available, a risk score for stored data is computed. The risk score is then used to select an appropriate data protection plan.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer-implemented method comprising: assessing an initial criticality of data stored on a computer system; computing an initial risk score based on the initial criticality and a plurality of situational factors received from one or more external modules, wherein the one or more external modules includes a web crawler and a seismic activity module comprising a seismic activity sensor, wherein the plurality of situational factors includes a stock activity level and a stock price; selecting an initial data protection plan based on the initial risk score, wherein the initial risk score is based on the stock activity level being within a predetermined threshold, and the stock price being within a predefined range; monitoring the one or more external modules, wherein the monitoring includes monitoring the seismic activity module; computing a new risk score based on detected changes in at least one of the plurality of situational factors as indicated by the seismic activity module, wherein the detected changes comprise detecting a warning time to: an impending earthquake, the stock activity level exceeded the predetermined threshold, and the stock price extended outside the predefined range; determining that the warning time provides insufficient time for a full back-up before the impending earthquake is to strike; selecting a different data protection plan based on the new risk score and the determination, wherein the different data protection plan includes backing up to a remote location only critical data; and backing up critical data to the remote location according to the selected different data protection plan. 2. The method of claim 1 , wherein assessing an initial criticality includes receiving an industry category. 3. The method of claim 1 , wherein assessing an initial criticality includes receiving a system type category. 4. The method of claim 1 , wherein assessing an initial criticality includes receiving a data importance category. 5. The method of claim 1 , wherein assessing an initial criticality includes receiving a data activity category. 6. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a temperature module. 7. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a precipitation module. 8. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a fire detection module. 9. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a moisture sensor module. 10. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a financial activity module. 11. The method of claim 10 , wherein the different data protection plan is selected in response to financial information from the financial activity module. 12. The method of claim 11 , wherein the financial information includes a stock price. 13. The method of claim 12 , wherein the financial information includes a stock activity level. 14. The method of claim 1 , wherein the monitoring the one or more external modules further includes monitoring a subset of external modules configured and disposed within a predetermined distance of the computer system. 15. The method of claim 1 , wherein the different data protection plan includes data mirroring. 16. The method of claim 1 , wherein the different data protection plan further includes an increased frequency of backups. 17. The method of claim 1 , wherein the different data protection plan further includes an increased retention period.

Assignees

Inventors

Classifications

  • Redundant storage or storage space (G06F11/2056 takes precedence) · CPC title

  • Management of state, configuration or failover · CPC title

  • Test or assess a computer or a system · CPC title

  • Assessing vulnerabilities and evaluating computer system security · CPC title

  • Backup scheduling policy · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10649857B2 cover?
Techniques are disclosed for dynamically changing a data protection plan based on a risk score. The risk score is continuously or periodically recalculated based on situational factors that are detected from external modules. The situational factors can include natural phenomena such as weather, fire, and seismic activity. The situational factors can include manmade phenomena such as financial …
Who is the assignee on this patent?
IBM, Int Business Machine Corporation
What technology area does this patent fall under?
Primary CPC classification G06F11/1461. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue May 12 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).