Abstract:
A distributed storage system, includes: a first data storage unit that holds data in a first data structure; a second data storage unit that holds the data in a second data structure different from the first data structure; an update information holding unit that holds an update information item(s) indicating update content of the data, and if a predetermined update condition is satisfied, applies the update information item(s) to the second data storage unit and reflects the update content in the second data storage unit; an update state monitoring unit that monitors the update information item(s) held by the update information holding unit and extracts as an update state an application status of the update information item(s) to the second data storage unit; and an update condition change unit that changes the predetermined update condition based on a change command for changing the predetermined update condition, the change command being determined in accordance with the update state.
Abstract:
In order to provide an evaluation apparatus that appropriately evaluates a risk from continuous execution of an application without stopping execution of the application, an evaluation apparatus includes a first obtaining section, an evaluating section, and an output section. The first obtaining section is configured to obtain application information related to an application being executed on a server. The evaluating section is configured to evaluate a risk degree from continuous execution of the application on the server, based on the application information. The output section is configured to output an evaluation result of the risk degree.
Abstract:
A model analysis device according to the present disclosure is provided with: a target information acquisition means that acquires equipment configuration information including hardware configuration information and software configuration information, which consists of firmware configuration information and protocol processing software configuration information, about a verification target; a model information acquisition means that acquires configuration information from which a trained model used to verify the verification target has been generated; a suitability evaluation means that evaluates the suitability of the verification target for the trained model on the basis of the acquired configuration information about the verification target and the trained model; and an output means that outputs the evaluation result.
Abstract:
It is determined whether to involve the security risk based on the data flow in the system to be analyzed. An analysis apparatus 1A a historical information collecting unit 220A configured to collect historical information on an operational history for a program executed in a system to be analyzed, an information adding unit 230 configured to add to the historical information, external information obtained from an information resource other than an information processing apparatus that executes the program, and a risk determining unit 180A configured to perform a risk determining processing for determining based on preset determining condition, whether to involve security risk in the historical information to which the external information is added.
Abstract:
An information processing apparatus (2000) classifies each event that occurred in a target apparatus to be determined (10) either as an event (event of a first class) that also occurs in a standard apparatus (20) or as an event (event of a second class) that does not occur in the standard apparatus (20). Herein, a first model used for a determination with respect to an event that also occurs in the standard apparatus (20) and a second model used for a determination with respect to an event that does not occur in the standard apparatus (20) are used as models for determining whether an event that occurs in a target apparatus to be determined (10) is a target for warning. The information processing apparatus (2000) performs learning of the first model using an event of the first class. Further, the information processing apparatus (2000) performs learning of the second model using an event of the second class.
Abstract:
A learning model is trained so that a signal state can be estimated with high accuracy even in a case where a constellation on a complex plane is rotated. A learning apparatus (1) includes: an acquisition section (11) that acquires a constellation of a known state optical signal transmitted through optical fiber; a generation section (12) that generates a corrected constellation obtained by rotating the constellation on a complex plane; and a learning section (13) that uses the constellation and the corrected constellation to train a learning model.
Abstract:
An information processing device 1X mainly includes a selection means 32X and an inference means 35X. The selection means 32X is configured to select, based on one or more geographical center points according to a movement history of an inference target device, one or more adaptive inference models to be used from inference models generated on an area-by-area basis, the inference models making inferences of a state of the inference target device. The inference means 35X is configured to make an inference of the state of the inference target device based on inference results of the adaptive inference models which use data acquired by the inference target device.
Abstract:
To enable a user to easily recognize temporal order of elements included in a retrieval sentence, a retrieval sentence utilization device 10 includes: a retrieval sentence division unit 11 for dividing a retrieval sentence into a plurality of retrieval contents each of which includes an event; and a directed graph generation unit 12 for generating, from each of the retrieval contents, a subtree in which the event is an edge and a source of the event and an object of the event are nodes, and integrating a plurality of subtrees generated from the retrieval contents to generate a directed graph, wherein the directed graph generation unit 12 places the plurality of subtrees in the directed graph according to occurrence order of events corresponding to the plurality of subtrees.
Abstract:
The present invention provides an information processing system for more appropriately classifying elements that constitute an information processing device or the like. This information processing system is provided with: a means that, on the basis of information indicating the relationship between a plurality of elements that constitute a system, acquires, for first elements to be classified, a set of second elements capable of arriving at the first elements via a relationship of arbitrary numbers; and a means that, on the basis of the set corresponding to the first elements, classifies each of the first elements in any of a plurality of roles.
Abstract:
The present invention provides an information processing device that outputs information including the data transmission relationship between elements constituting an information processing system, the information indicating the state of the information processing system. The information processing device includes a graphing means for generating a relationship graph based on an event log indicating the behavior of each of a plurality of processes operating in the system, the relationship graph having the processes as the vertices thereof and having the data transmission relationship between the vertices as the sides thereof; and a graph output means for outputting the generated relationship graph.