Using tunable metrics for iterative discovery of groups of alert types identifying complex multipart attacks with different properties

Tunable metrics are used for iterative discovery of groups of security alerts that identify complex, multipart attacks with different properties. Alerts generated by triggering signatures on originating computing devices are iteratively traversed, and different metrics corresponding to alerts and al...

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Bibliographische Detailangaben
1. Verfasser: Miskovic Stanislav
Format: Patent
Sprache:eng
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