- 专利标题: Dynamically updating feature set recommendation databases
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申请号: US16817070申请日: 2020-03-12
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公开(公告)号: US10904295B2公开(公告)日: 2021-01-26
- 发明人: Sourabh Satish , Oliver Friedrichs , Atif Mahadik , Govind Salinas , Ryan Russell
- 申请人: Splunk Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Splunk Inc.
- 当前专利权人: Splunk Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Nicholson De Vos Webster & Elliott LLP
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; G06F21/57 ; G06F21/00
摘要:
Systems, methods, and software described herein provide for identifying recommended feature sets for new security applications. In one example, a method of providing recommended feature sets for a new security application includes identifying a request for the new security application, and determining a classification for the new security application. The method further provides identifying related applications to the new security application based on the classification, and identifying a feature set for the new security application based on features provided in the related applications.
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