Abstract: A security monitoring apparatus (100) includes a content category deducing unit (122), a category comparing unit (123), and an information assignment unit (130). The content category deducing unit (122) deduces a first deduced category that is a result of deducing a category of content that a target device that a monitoring target system (200) includes has, using a content category deducing model that is a learning model that deduces using content data that indicates content, a category of content indicated in the content data, and data that indicates content that the target device has. The category comparing unit (123) verifies whether or not the first deduced category and a category for comparison match. The information assignment unit (130) generates assignment information that is in accordance with whether or not the first deduced category and the category for comparison match.

Abstract: An attribute-value extraction unit (101) extracts as a plurality of model-generation attribute values, a plurality of attribute values belonging to an attribute associated with a monitoring subject for anomaly detection. A division-data generation unit (102) extracts for each model-generation attribute value, a normal event associated with the model-generation attribute value from normal data indicating a plurality of normal events each of which is found out to be normal, each of which is associated with one attribute value of the plurality of attribute values, and each of which includes a plurality of characteristics, and generates for each model-generation attribute value, division data indicating the extracted normal event. A characteristic selection unit (103) selects a combination of characteristics to be used for generation of a normal model to be used for anomaly detection, from a plurality of characteristics included in a plurality of normal events indicated in a plurality of pieces of division data.

Abstract: An attribute-value acquisition unit (203) acquires an attribute value of an attribute associated with a monitoring subject for anomaly detection. A normal-model acquisition unit (204) acquires from among a plurality of normal models generated corresponding to a plurality of attribute values, a normal model generated corresponding to the attribute value acquired by the attribute-value acquisition unit (203). An anomaly detection unit (205) performs the anomaly detection, using the normal model acquired by the normal-model acquisition unit (204).

Abstract: An attribute selection section (101) selects as a recommended attribute, based on analysis status in a past anomaly analysis on each of a plurality of attributes of a new anomaly which is a newly detected anomaly, an attribute being recommended to be emphasized in an analysis on the new anomaly, from among the plurality of attributes. An attribute presentation section (103) presents the recommended attribute selected by the attribute selection section (101).

Abstract: The incident response assisting device includes: an incident extraction unit, a response procedure creation unit, and a screen display unit. The incident extraction unit performs an incident extraction process on an alert indicating that an incident has occurred in a monitored object and on log data of the monitored object, to extract incident information. The response procedure creation unit creates an incident response procedure corresponding to the incident on the basis of the incident information and a response procedure template. The screen display unit selects a display range from the incident response procedure in accordance with a progress status of response and displays the display range as a display response procedure. The incident extraction process is composed of a series of comparison processes in which a content of a comparison process to be subsequently performed is changed in accordance with a result of a previously performed comparison process.

Abstract: An erroneous detection amount obtaining unit (110) obtains using an overall detection rule group corresponding to an overall phase group that configures a series of attack activities, an erroneous detection amount of each phase of when attack detection is performed. A final stages verification unit (121) verifies whether or not an erroneous detection amount of a final phases group satisfies a final stages limitation. An overall verification unit (123) verifies whether or not the erroneous detection amount of the overall phase group satisfies an overall limitation. In a case where the erroneous detection amount of the final phases group does not satisfy the final stages limitation, a final stages adjustment unit (122) adjusts a parameter value of each detection rule of a final stages detection rule group.

Abstract: A reception unit receives communication packet data used for updating of a current program that is transmitted from a maintenance terminal apparatus. A control program construction unit acquires an updated program for the current program as a packet-updated program, using the communication packet data. A difference determination unit analyzes a difference between the current program and the packet-updated program and determines a probability that the packet-updated program is a normal updated program for the current program.

Abstract: The incident response assisting device includes: an incident extraction unit, a response procedure creation unit, and a screen display unit. The incident extraction unit performs an incident extraction process on an alert indicating that an incident has occurred in a monitored object and on log data of the monitored object, to extract incident information. The response procedure creation unit creates an incident response procedure corresponding to the incident on the basis of the incident information and a response procedure template. The screen display unit selects a display range from the incident response procedure in accordance with a progress status of response and displays the display range as a display response procedure. The incident extraction process is composed of a series of comparison processes in which a content of a comparison process to be subsequently performed is changed in accordance with a result of a previously performed comparison process.