EFFICIENT IDENTIFICATION OF LOG EVENTS IN ENTERPRISE THREAT DETECTION

    公开(公告)号:US20170180404A1

    公开(公告)日:2017-06-22

    申请号:US14979015

    申请日:2015-12-22

    Applicant: SAP SE

    Inventor: Viktor Bersch

    Abstract: A first set of log entries is identified. A plurality of log entry classes occurring in the first set of log entries is determined. Each log entry in a given log entry class has a same number, type, and ordering of components. A vector of component type identifiers is determined for each log entry class. Each identifier in a vector for a given log entry class identifies a position and type of a component included in a log entry belonging to the given log entry class. A classification tree is created using the vectors. An unclassified log entry not included in the first set of log entries is identified. A log entry class is assigned to the unclassified log entry using the classification tree to create a classified log entry. One or more security threat patterns are evaluated using the classified log entry.

    Efficient identification of log events in enterprise threat detection

    公开(公告)号:US10038710B2

    公开(公告)日:2018-07-31

    申请号:US14979015

    申请日:2015-12-22

    Applicant: SAP SE

    Inventor: Viktor Bersch

    Abstract: A first set of log entries is identified. A plurality of log entry classes occurring in the first set of log entries is determined. Each log entry in a given log entry class has a same number, type, and ordering of components. A vector of component type identifiers is determined for each log entry class. Each identifier in a vector for a given log entry class identifies a position and type of a component included in a log entry belonging to the given log entry class. A classification tree is created using the vectors. An unclassified log entry not included in the first set of log entries is identified. A log entry class is assigned to the unclassified log entry using the classification tree to create a classified log entry. One or more security threat patterns are evaluated using the classified log entry.

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