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Distributed digital security system

專利號(hào)
US11616790B2
公開日期
2023-03-28
申請(qǐng)人
CrowdStrike, Inc.(US CA Irvine)
發(fā)明人
David F. Diehl; Michael Edward Lusignan; Thomas Johann Essebier
IPC分類
H04L9/40; G06F16/2455; G06Q50/26
技術(shù)領(lǐng)域
event,data,security,engine,bounding,compute,rally,or,can,client
地域: CA CA Irvine

摘要

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.

說明書

For example, some digital security systems only execute locally on individual computing devices. While this can be useful in some cases, local-only digital security systems may miss broader patterns of events associated with security threats that occur across a larger set of computing devices. For instance, an attacker may hijack a set of computing devices and cause each one to perform events that are innocuous individually, but that cause harmful results on a network, server, or other entity when the events from multiple computing devices are combined. Local-only security systems may accordingly not be able to detect a broader pattern of events across multiple computing devices.

Some digital security systems do cause event data to be reported to servers or other network elements, such that network and/or cloud processing can be used to analyze event data from one or more computing devices. However, many such cloud-based systems can become overloaded with event data reported by individual computing devices, much of which may be noise and thus be irrelevant to security threat detection. For example, many systems do not have ways of limiting the event data that is initially reported to the cloud. Many systems also do not provide indications to the cloud about reasons why specific event data has been sent to the cloud.

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