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: At least one processor included in an optical signal state estimation apparatus carries out: an acquisition process for acquiring a constellation of an optical signal; a generation process for generating time series data in which pieces of histogram information are arranged in time series, the histogram information being obtained by counting the number of signal points of the constellation, the signal points being included in each of grids obtained by dividing an in-phase component direction and a quadrature component direction into a specific number of rows and the specific number of columns, respectively; and an estimation process for estimating a state of the optical signal by inputting the time series data to a learned model.

Abstract: To extract data-for-machine-leaning so as to enable accurate detection of an abnormality while reducing normal state patterns in a mobile network. A learning data extracting apparatus includes: an issuing section that issues a network service use request which is to be processed by cooperation of a plurality of communication apparatuses constituting C-plane; an obtaining section that obtains, as pieces of candidate learning data, time series data of information relating to the plurality of communication apparatuses; and an extracting section that extracts, as data-for-machine-leaning, a piece of candidate learning data with which the process in response to the network service use request has been successfully ended, from among the pieces of candidate learning data.

Abstract: A first information processing apparatus (2000) determines an alternative representation (20) of an event sequence represented by a plurality of event histories (12), by use of dictionary data (30). The first information processing apparatus (2000) outputs information including the determined alternative representation (20). The dictionary data (30) indicate an event sequence and an alternative representation (20) relating to the event sequence in association with each other.

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: An information processing apparatus 2000 executes analysis for an event history set (10). The event history set (10) is a set of a plurality of event histories (12). The event history (12) is information relating to an event generated in a target computer system. The information processing apparatus 2000 selects, based on a result of the analysis, an event history (12) to be excluded from deletion targets. The information processing apparatus (2000) deletes, from the event history set (10), an event history (12) other than the event history (12) excluded from the deletion targets.

Abstract: An information processing apparatus generates a graph that represents an action of a program. On the graph, an edge represents action contents of a process in an event. Further, two nodes connected by the edge respectively represent a subject and an object of the event. The information processing apparatus outputs the generated graph. Further, the information processing apparatus also alters the generated graph. When an index value of an event satisfies a first predetermined condition which index value is based on the number of occurrences or the frequency of occurrences of the event, the information processing apparatus alters the graph with respect to an edge representing the event.

Abstract: The purpose of the present invention is to provide a technology which assists a verifying party in ascertaining an anomaly in an event of which notification has been made. Provided is an assistance device, comprising: an acquisition unit which acquires as an associated event, from among events which take place among a plurality of elements, and with respect to elements which have been associated with an event which has been detected as an anomalous event, an event other than the anomalous event which has been associated with the elements; and a generating unit which, on the basis of the anomalous event and the associated event, generates a relational graph in which the elements are vertices, the relations among the elements are edges, the anomalous event and the associated event are respectively represented, and the associated event is displayed in a display screen in a different manner from the manner in which the anomalous event is displayed.

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: An information processing apparatus (2000) compares a name of a determination target file with a name of one or more normal files. The information processing apparatus (2000) outputs information related to the determination target file, when a name of the determination target file does not coincide with a name of any of the normal files, and a degree of reliability of the determination target file is equal to or less than a threshold value. A degree of reliability of the determination target file is calculated, based on a degree of similarity between a name of the determination target file and a name of each of the normal files.

Abstract: An information processing apparatus (2000) extracts, from a communication history (20) representing a history of network communication performed by each of a plurality of mobile terminals (10), a communication history (20) indicating communication related to a similar attack. Herein, the communication history (20) includes positional information about the mobile terminal (10). The information processing apparatus (2000) generates attack information related to an attack on the mobile terminal (10) by using positional information indicated by each of the extracted communication histories (20), and outputs the generated attack information.

Abstract: An information processing apparatus (2000) acquires an event graph (10) to be output. In the event graph (10), an activity content in an event related to an activity of a program is represented as an edge, and each of a subject and an object of the event is represented as a node. By using score information, the information processing apparatus (2000) determines a subgraph that matches an event graph (10) having a score equal to or higher than a threshold value from the event graphs (10) to be output. The score information associates each of a plurality of event graphs (10) with a score based on the number of occurrences of an event sequence represented by the event graph (10). The information processing apparatus (2000) outputs the event graph (10) to be output in a mode in which the determined subgraph and the other portion can be discriminated from each other.

Abstract: An information processing apparatus (2000) acquires an event graph (10) to be output and determines a subgraph satisfying a predetermined reference from the acquired event graph (10) to be output. In the event graph (10), an activity content in an event related to an activity of a program is represented as an edge (14), and each of a subject and an object of the event is represented as a node (12). The information processing apparatus (2000) outputs the event graph (10) with an output mode of the determined subgraph as a first mode and with an output mode of another portion as a mode other than the first mode. The first mode is a mode in which at least one of the number of nodes (12) and the number of edges (14) is reduced than the number included in the determined graph.

Abstract: An information processing apparatus 2000 executes analysis for an event history set (10). The event history set (10) is a set of a plurality of event histories (12). The event history (12) is information relating to an event generated in a target computer system. The information processing apparatus 2000 selects, based on a result of the analysis, an event history (12) to be excluded from deletion targets. The information processing apparatus (2000) deletes, from the event history set (10), an event history (12) other than the event history (12) excluded from the deletion targets.

Abstract: A first information processing apparatus (2000) determines an alternative representation (20) of an event sequence represented by a plurality of event histories (12), by use of dictionary data (30). The first information processing apparatus (2000) outputs information including the determined alternative representation (20). The dictionary data (30) indicate an event sequence and an alternative representation (20) relating to the event sequence in association with each other.

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: Provided is, for example, a display control apparatus that generates display information with which an event having occurred in an information processing system can be easily determined. This display control apparatus 101 comprises a display control unit 102 that, on the basis of device information indicating a device detected by a first information processing apparatus in an information processing system and communication information indicating communication executed between a second information processing apparatus in the information processing system and a third information processing apparatus in the information processing system: performs displaying on a display apparatus in a manner such that said device and said first information processing apparatus are associated with one another; and performs displaying on said display apparatus in a manner such that said second information processing apparatus and said third information processing apparatus are associated with one another.

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: An information processing apparatus generates a graph that represents an action of a program. On the graph, an edge represents action contents of a process in an event. Further, two nodes connected by the edge respectively represent a subject and an object of the event. The information processing apparatus outputs the generated graph. Further, the information processing apparatus also alters the generated graph. When an index value of an event satisfies a first predetermined condition which index value is based on the number of occurrences or the frequency of occurrences of the event, the information processing apparatus alters the graph with respect to an edge representing the event.