WO2015004854A1 - イベント処理装置、イベント処理方法、およびイベント処理プログラム - Google Patents
イベント処理装置、イベント処理方法、およびイベント処理プログラム Download PDFInfo
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- WO2015004854A1 WO2015004854A1 PCT/JP2014/003243 JP2014003243W WO2015004854A1 WO 2015004854 A1 WO2015004854 A1 WO 2015004854A1 JP 2014003243 W JP2014003243 W JP 2014003243W WO 2015004854 A1 WO2015004854 A1 WO 2015004854A1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/22—Status alarms responsive to presence or absence of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B5/00—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied
- G08B5/22—Visible signalling systems, e.g. personal calling systems, remote indication of seats occupied using electric transmission; using electromagnetic transmission
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- the present invention relates to an event processing apparatus that processes an event detected from collected data, an event processing method, and an event processing program.
- a monitoring and analysis solution has been developed to automatically detect important events (hereinafter referred to as events) from data collected using a large number of surveillance cameras and various sensors. It has been introduced in countries around the world. In this area of security control and security, we recognize events that can be recognized from a short time scene such as an intrusion into a non-restricted facility or a fire, and recognize the situation by looking at the progress or scale of the situation such as placement or demonstration. There is a need to automatically detect an event to be detected.
- An event that can be determined from a short continuous state or movement obtained by a single sensor such as a surveillance camera or a microphone is detected by a recognition system that operates according to information input from each sensor.
- a recognition system that operates according to information input from each sensor.
- a smoke detection sensor is already installed indoors in each building, and the sensor device also functions as a recognition system for an event that indicates the possibility of fire from smoke.
- Patent Document 1 discloses a technique of using a video of a surveillance camera to distinguish between removal and removal of a package and detect any one of them.
- CEP complex event processing
- the CEP can detect an event of leaving a package when someone leaves a certain suspicious package at a certain facility. This event can be detected by a surveillance camera and an image recognition system.
- An object of the present invention is to provide an event processing apparatus, an event processing method, and an event processing program capable of detecting a complex event linking potential related events while maintaining the immediacy of notification.
- the event processing apparatus stores an event detection unit that detects the received data as an event when the received data satisfies a predetermined condition, and the data received by the event detection unit regardless of the detection result of the event.
- Integrated analysis means for combining, with the newly stored data, the past data of which the relationship with the newly stored data among the past data satisfies the related information definition;
- An event display means for displaying past data and the newly stored data may be provided.
- the event processing method when the received data satisfies a predetermined condition, the data is detected as an event, and the received data is stored in the data storage unit regardless of the detection result of the event, Among the past data stored in the data storage means when the data is newly stored in the storage means, the related information whose relationship with the data newly stored is the definition of the relevancy between the data The past data satisfying the definition is combined with the newly stored data, and the combined past data and the newly stored data are displayed.
- the event processing program causes the computer to detect the received data as an event when the received data satisfies a predetermined condition, and store the received data in the data storage unit regardless of the detection result of the event.
- the relationship between the data stored in the data storage means and the newly stored data is related to the data Integrated analysis processing of combining the past data satisfying the related information definition which is the definition of the sex with the newly stored data, and displaying the past data combined and the newly stored data And data display processing.
- FIG. 1 is a block diagram showing an example of the configuration of an event processing apparatus according to this embodiment.
- the event processing apparatus 10 shown in FIG. 1 includes an event detection unit 1, a data storage unit 2, an integrated analysis unit 3, a related information definition storage unit 4, and an event display unit 5.
- the event detection means 1 receives data transmitted from an external source, detects it as one event when the received data satisfies a predetermined condition, and sends it to the event display means 5. Also, the event detection unit 1 stores the received data in the data storage unit 2 regardless of the detection result of the event.
- the data storage means 2 stores the data passed from the event detection means 1.
- the integrated analysis means 3 determines the relevance between the data for the data sequentially stored in the data storage means 2, combines the related data, and sends the result of combining the data to the event display means 5.
- the related information definition storage unit 4 stores the related information definition necessary for the integrated analysis unit 3 to determine the relationship between the data and to combine the data.
- the event display means 5 has a function of displaying the event data sent from the event detection means 1 and the integrated analysis means 3 and the result of combining the data on a screen of a terminal device or the like.
- FIG. 2 is an explanatory diagram showing an example of the hardware configuration of the event processing apparatus of the present embodiment.
- the event processing apparatus in the present embodiment can be realized by the hardware configuration as shown in FIG.
- the event processing apparatus 30 illustrated in FIG. 2 includes at least a central processing unit (CPU) 31, a main storage unit 32, an output unit 34 for presenting a process result or a process progress to a person, a communication unit 35, and an auxiliary storage unit 36. Prepare.
- the event processing device 30 may further include an input unit 33 for a person to operate.
- the main storage unit 32 is, for example, a main memory such as a random access memory (RAM), and is used as a work area of data or a temporary save area of data.
- the input unit 33 is an input device such as a keyboard and a mouse, for example, and is used by the user to input data and processing instructions.
- the output unit 34 is, for example, a display device such as a liquid crystal display device or a printing device such as a printer and has a function of outputting data.
- the communication unit 35 inputs and outputs data to and from a peripheral device via a wired or wireless network (information communication network).
- the auxiliary storage unit 36 is realized by, for example, a hard disk drive or another storage device. Further, as shown in FIG. 2, the above-described components included in the event processing device 30 are mutually connected via a system bus 37.
- the auxiliary storage unit 36 stores programs for executing the event detection unit 1, the data storage unit 2, the integrated analysis unit 3, the related information definition storage unit 4, and the event display unit 5 shown in FIG. 1. . Further, the auxiliary storage unit 36 stores the data stored in the data storage unit 2 and the related information definition stored in the related information definition storage unit 4. However, the event processing device 30 may store the data and the related information definition only in the main storage unit 32 without including the auxiliary storage unit 36.
- the event detection unit 1 acquires data through the input unit 33 or the communication unit 35.
- the event processing apparatus 30 is realized by hardware by mounting a circuit including hardware components such as LSI (Large Scale Integration) incorporating therein a program for realizing the function as shown in FIG. 1. May be Also, the event processing device 30 may be realized by software by causing a CPU 31 of a computer to execute a program that provides the functions as shown in FIG. 1. In this case, the CPU 31 loads the program stored in the auxiliary storage unit 36 into the main storage unit 32 and executes the program to control the operation of the event processing apparatus 30, thereby realizing the above-described functions by software. be able to.
- LSI Large Scale Integration
- the communication unit 35 is also connected to peripheral devices to transmit and receive data.
- the external storage device 38 may be connected to the event processing device 30 via the communication unit 35 via the network, and the event detection unit 1 may acquire data stored in the external storage device 38.
- the event processing device 30 may store in the external storage device 38 data including the data of the event output from the event display means 5 and the combination result of the data.
- FIG. 3 is a flowchart showing the operation of the event processing device 10 according to the present embodiment.
- the event detection unit 1 receives new data (step S10), the event detection unit 1 refers to the received data and determines whether an event is established based on a predetermined condition (step S20).
- the event detection means 1 can realize this determination, for example, using the mechanism of CEP which is an existing technology. Hereinafter, this determination will be specifically described using an example.
- FIG. 4 is an explanatory diagram of an example of input data input to the event processing apparatus.
- Examples of input data shown in FIG. 4 include three input data (input data 1 to 3) having attributes such as detection information type, detection date and time, sensor (type of sensor), sensor position, certainty factor, and detection content.
- the event detection unit 1 receives various input data as shown in FIG.
- the event detection means 1 has, for example, a detection information type corresponding to any one of predefined values, and has at least a detection date, a sensor position, and a certainty value, and further, the certainty value has a predetermined threshold value. For example, if it exceeds 0.75, it is detected as an event. Then, the event detection unit 1 outputs the input data to the event display unit 5 as one event.
- step S20 If it is determined that the event is established in step S20, the event display means 5 displays the data of the event sent from the event detection means 1 on the terminal device (step S30). Further, the data storage unit 2 stores the input data received in step S10 regardless of the result of the determination in step S20 (step S40).
- the integrated analysis means 3 stores the association between the new data and other data stored in the data storage means 2 in the related information definition storage. The determination is made based on the related information definition stored in the means 4, and the related data are combined (step S50).
- the integrated analysis means 3 combines the data on an event basis. That is, when it is determined that the respective pieces of data constituting two particular events are related to each other, the two events are combined.
- FIG. 5 is an explanatory drawing showing an example of the definition of the alert level included in the related information definition.
- FIG. 6 is an explanatory drawing showing an example of the definition of the degree of association included in the related information definition.
- the related information definition storage unit 4 stores, for example, definitions of alert levels as shown in FIG. 5 and definitions of degrees of association as shown in FIG.
- the definition of the degree of association may be in the form of a table as shown in FIG.
- "119th" described in FIG. 6 is a telephone number in Japan for calling an ambulance.
- the three pieces of input data shown in FIG. 4 are stored in the data storage unit 2 as data representing an event whose detection information type is an event name.
- the integrated analysis means 3 first refers to the input data 1 stored in the data storage means 2 and confirms that the detection information type is “person falling down”. This detection information type has an alert level of 2 in the alert level definition shown in FIG. Next, when the input data 2 is stored in the data storage means 2, the integrated analysis means 3 confirms that the detection information type of the input data 2 is “scream” and the alert level is 2.
- the integrated analysis means 3 relates the relationship between the events when each of the input data 1 and the input data 2 is viewed as an event, depending on the degree of association of the respective detection information types, the proximity of the detection date and time, the proximity of the sensor position. to decide.
- the integrated analysis means 3 refers to the definition of the degree of association stored in the related information definition storage means 4 as shown in FIG. 6 as the degree of association of the detection information type, and selects between two detection information types to be compared. If the degree of association exceeds a predetermined threshold, it is determined that the detected information types are associated.
- the respective detection information types are "falling person” and “scream", and the degree of association between them is 0.4 (in the definition of the degree of association in FIG. 6).
- the order of detection information type 1 and detection information type 2 is the same even if the order is the same).
- the threshold of the degree of association is 0.3, 0.4 exceeds the threshold, and the integrated analysis unit 3 considers that the detection information types of the input data 1 and the input data 2 are mutually associated.
- the definition of the degree of association may be represented in the form of a table as shown in FIG. 6 or in the form of a matrix as described above. Further, the definition of the degree of association may be stored in advance in the association information definition storage means 4 as a table of only combinations in which the degree of association exceeds the threshold, when it is not necessary to change the threshold of the degree of association later. .
- the integrated analysis means 3 calculates the detection date and time and the proximity of the sensor position by measuring the scalar distance on each numeral.
- the input data 1 and the input data 2 are “2013/06/14 21:40:14” and “2013/06/14 21:40:26”, respectively, and the distance is the time difference Expressed as 12 seconds.
- the integrated analysis means 3 similarly obtains the distance between two points represented by the latitude and longitude (3.
- the integrated analysis unit 3 determines the input data 1 and the input data 2 as data of the related event. To join.
- the integrated analysis unit 3 When the data of an event is newly combined with the data of the event newly stored in the data storage unit 2, the integrated analysis unit 3 sends the combined result to the event display unit 5. Then, the event display means 5 displays the data of the event coupled to the screen of the terminal device etc (step S60). Even when the input data 3 is further stored in the data storage unit 2, the integrated analysis unit 3 similarly detects the degree of association between the detection information types between the input data 3 and the input data 1 and 2. Evaluate the date and time and the distance of the sensor position. Then, since the input data 1 and the input data 3 satisfy the conditions, the integrated analysis means 3 combines them as related events. In the input data 2 and the input data 3, the degree of association between the detection information types (“scream” and “specific remark“ ambulance ”) shown in FIG. 6 is 0.2, and does not satisfy the threshold 0.3 described above. . Therefore, integrated analysis means 3 does not combine input data 2 and input data 3 as related events.
- FIG. 7 is an explanatory diagram showing an example of combined events.
- the result combined by the integrated analysis means 3 can be represented in the form in which events labeled with the value of the detection information type are linked to each other.
- numerical values attached to the upper right of the nodes represented by the labels are values obtained by multiplying the alert level of the detection information type and the certainty factor for each input data.
- the numerical value attached to the link connecting the nodes is the value of the degree of association between the detection information types.
- the integrated analysis means 3 also sends these values to the event display means 5, and displays them on the terminal screen as shown in FIG. 7, for example, to use the degree of importance of each event and the degree of association of the associated events. It may be possible for the person to confirm directly.
- FIG. 8 is an explanatory view showing an example of a predefined composite event rule.
- the related information definition storage means 4 is a logical relationship between the detected information types as shown in FIG. 8 and a new event established when the relationship is satisfied (in the example shown in FIG. ") May be stored.
- the integrated analysis means 3 may send a new event established when one or more pieces of input data satisfy the relationship shown in FIG. 8 to the event display means 5 for display on a terminal device or the like.
- FIG. 9 is an explanatory view showing an example of a composite event detected based on a rule. Applying the input event 1 to the input event 3 shown in FIG. 4 to the logical relationship representing the condition for “injured generation” shown in FIG. 8, the input data 1 and the input data previously stored in the data storage means 2 From “2", as shown in FIG. 9, an "injured occurrence" event is established.
- FIG. 10 is an explanatory view showing an example in which related events are further combined with a complex event.
- the integrated analysis unit 3 When the definition of the alert level and the definition of the degree of association shown in FIG. 5 and FIG. 6 described above are also stored in the related information definition storage unit 4, the integrated analysis unit 3 generates data of “injured occurrence” event.
- the input data 3 can be linked to data in which the detected information type is “falling person”. In this case, a result as shown in FIG. 10 is obtained.
- the integrated analysis means 3 may send the contents indicating a new event as shown in FIGS. 8 to 10 to the event display means 5 to display the contents on a terminal device or the like.
- FIG. 11 is an explanatory view showing a display example of a detected event. Specifically, FIG. 11 is an example showing a state of events sequentially displayed on the terminal device by the event display unit 5.
- an event 11 detected by the event detection unit 1 from the input data 1 is displayed.
- the detection information type shown in FIG. 4 is used as an event name
- the input data 1 is an event representing “person falling down”.
- an event 12 representing a "scream" detected from the input data 2 is displayed on the same terminal screen, and after 15 seconds, the relationship between the "falling person” and the "scream” both sides Are displayed (events 11 and 12 connected by arrows in FIG. 11).
- the integrated analysis means 3 combines the mutual data because “scream” and “specific utterance“ ambulance ”” are both events related to the event representing “the falling person”, The result is displayed as shown in FIG.
- events that are not displayed alone may also be displayed depending on the degree of association with other events. This allows the user of the terminal device to easily grasp the entire image of the detected information about the related event.
- the event processing apparatus immediately notifies each event that has occurred, and in addition, if relevance is found among the notified events, those events are combined to sequentially associate the relevance. Notice. Furthermore, the event processing apparatus according to the present embodiment can also notify the occurrence of a new composite event composed of a plurality of already notified events as soon as a predetermined condition is satisfied. With these functions, the event processing apparatus according to the present embodiment can achieve both the immediacy and the comprehensiveness of the event detection including the combination.
- FIG. 12 is a block diagram showing the configuration of the event processing apparatus 20 in the present embodiment.
- the event processing apparatus 20 is the event processing apparatus 10 according to the first embodiment to which the period management means 6 and the comprehensive evaluation means 7 are added, and the other components are common to the event processing apparatus 10 I omit explanation.
- the period management means 6 indicates that the data newly input to the event detection means 1 represents the same event as the previous data obtained from the same source as the source (for example, sensor) that has obtained the data source of the data. In this case, the newly input data is not stored in the data storage unit 2. Instead, the period management means 6 sets a continuation flag (not shown) of the data of the previous event previously stored in the data storage means 2. For example, the data stored in the data storage unit 2 is provided with a "continuation flag" attribute, and if the value is 1, the flag is set (in the ongoing state); if 0, the flag is not set (Does not continue).
- the period management means 6 may judge that it is the same event, for example, when the detection information type and the sensor position are the same in addition to the sensor in the example shown in FIG. .
- the event detection unit 1 acquires data representing an event different from the previous event from a certain sensor
- the event detection unit 1 lowers the continuation flag of data representing the previous event acquired from the sensor (set it to 0).
- the integrated analysis means 3 determines the continuation and end of the event based on the continuation flag. Then, the integrated analysis means 3 sets only the data with the continuation flag set (the value is 1) among the data stored in the data storage means 2 as the processing target.
- the event processing apparatus 20 includes the period management unit 6 so that an event detected by the same sensor continues (for example, a left-off baggage is left as it is for a long time) In addition, it can be avoided that a plurality of data representing the same event are periodically stored in the data storage unit 2 through the event detection unit 1. Thus, the event processing apparatus 20 can avoid being coupled to each other as a plurality of events regardless of data representing the same event.
- the period management means 6 may immediately delete from the data storage means 2 the data for which the continuation flag has changed from 1 to 0 if the continuation flag becomes 0 if there is no other use thereafter.
- the integrated evaluation unit 7 calculates the score of the entire data combined by the integrated analysis unit 3.
- the score is used to indicate the degree of importance or reliability of the entire data as an event.
- the comprehensive evaluation means 7 indicates that, for example, that data representing a plurality of events is related represents an event that has a larger influence on the scale and surroundings.
- the overall evaluation unit 7 gives, for example, a higher score to the event as the number of combined data increases.
- the comprehensive evaluation unit 7 may, for example, raise the score as an event with more relevant data, with more contextual evidence and higher reliability.
- the integrated evaluation means 7 calculates a score by applying a numerical formula as shown to the following formula (1), for example.
- Score ((alert level ⁇ confidence ⁇ relevance) ⁇ ⁇ ⁇ (1)
- the comprehensive evaluation means 7 Before applying the equation (1), the comprehensive evaluation means 7 first determines data to be a primary event among data to be subjected to the comprehensive evaluation.
- the comprehensive evaluation means 7 uses data with the highest product of alert level and certainty factor as a primary event, and other related data as support events.
- the primary event is the input data 1 whose detected information type is “person falling down”. That is, the event "person falling down” is the main, and "scream” and "specific remark” ambulance "are positioned as supplementary events for the event.
- the comprehensive evaluation unit 7 calculates, for each input data, values of alert level ⁇ certainty factor ⁇ relevance degree, and sets the sum as a score.
- the degree of association is the degree of association with the primary event, and is, for example, a value shown in FIG.
- the degree of association of the primary event itself is 1.0.
- the event display means 5 presents the score thus calculated to the user as a result of combining data through the terminal device as a value representing the degree of importance or reliability of the primary event.
- the event display unit 5 may display the result of combining data on the terminal device only when the score exceeds a predetermined threshold.
- the auxiliary storage unit 36 includes the event detection unit 1, the data storage unit 2, the integrated analysis unit 3, the related information definition storage unit 4, the event display unit 5, the period management unit 6 and the overall evaluation shown in FIG. Programs for respectively executing the means 7 are stored.
- FIG. 13 is a flow chart showing the operation of the event processing device of this embodiment. Operations in FIG. 13 other than steps S35, S55 and S60 are the same as the operations of the first embodiment shown in FIG.
- the period management means 6 determines whether the data newly input to the event detection means 1 represents the same event as the previous data obtained from the same source as the source (for example, sensor) of the data. (Step S35). If the condition of step S35 is satisfied, the period management means 6 does not store the newly input data in the data storage means 2, and the process relating to the data ends.
- the integrated evaluation unit 7 calculates the score of the entire data combined by the integrated analysis unit 3 (step S55).
- the event display means 5 displays the combined event and the score (step S60).
- the event processing apparatus can quantitatively show the importance and reliability of the main event in the entire data of the associated events by using the comprehensive evaluation means 7. Thus, the user can use the indicated score for determining whether or not immediate action is necessary.
- the event processing apparatus of the present embodiment can avoid redundancy in which data representing the same event is repeatedly combined by the period management means 6, the score of the overall evaluation is originally expected due to the redundancy. Can be suppressed to be a value that is significantly different from.
- FIG. 14 is a block diagram showing the configuration of the main part of the event processing apparatus according to the present invention.
- the event processing apparatus includes, as main components, an event detection unit 41 that detects the received data as an event when the received data satisfies a predetermined condition, and an event detection unit 41.
- Data storage unit 42 which stores the received data regardless of the detection result of the event
- a related information definition storage unit 44 which stores the related information definition which is the definition of the relationship between the data, and
- an event display unit 45 for displaying the combined past data and newly stored data.
- An event processing apparatus in which the event detection means causes the event display means to immediately display the detected event. According to such an event processing device, the immediacy of the notification can be maintained.
- the event processing apparatus calculates the score indicating the importance and reliability of the entire data obtained by combining the newly stored data combined by the integrated analysis means with the past data (for example, comprehensive evaluation means)
- the evaluation means 7) may be provided, and the event display means may be configured to display the score. According to such an event processing device, it is possible to quantitatively indicate the importance and reliability of the main event in the entire data of the associated events. Thus, the user can use the indicated score for determining whether or not immediate action is necessary.
- the event processing device is configured such that the event display means displays the entire data combined by the integrated analysis means only when the value of the score calculated by the general evaluation means exceeds a predetermined threshold. It may be done.
- the event processing apparatus determines whether the event detected from the new data received by the event detection means is the same as the event detected from the previous data obtained from the same transmission source, and It may be configured to include period management means (for example, period management means 6) in which new data is not stored in the data storage means if the result is the same. According to such an event processing device, it is possible to avoid being coupled to each other as a plurality of events regardless of data representing the same event.
- period management means for example, period management means 6
- the event processing device determines that the one event detected from the received new data by the period management means is the same as the event detected from the previous data obtained from the same source, If a different event from the previous one is detected from the data obtained from the source, the continuation flag is lowered and the integrated analysis means continues and ends the one event according to the continuation flag. May be configured to determine the
- the present invention relates to partial events even when immediate detection and notification of an occurred event is required, and occurrence of an event can not be immediately detected by a single or a small number of sensor information, and the event is predetermined.
- the present invention is suitably applied to an event processing device that is required to notify occurrence of an event as soon as a condition is satisfied.
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Abstract
Description
以下、本発明の第1の実施形態(実施形態1)を、図面を参照して説明する。図1は、本実施形態におけるイベント処理装置の構成例を示すブロック図である。図1に示すイベント処理装置10は、イベント検知手段1と、データ記憶手段2と、統合解析手段3と、関連情報定義記憶手段4と、イベント表示手段5とを備えている。
次に、本発明の第2の実施形態(実施形態2)を説明する。図12は、本実施形態におけるイベント処理装置20の構成を示すブロック図である。イベント処理装置20は、第1の実施形態に係るイベント処理装置10に、期間管理手段6と総合評価手段7が追加されたものであり、その他の構成要素はイベント処理装置10と共通であるため説明を省略する。
スコア=Σ(アラートレベル×確信度×関連度) ・・・(1)
スコア=(2×0.96×1.0)+(2×0.89×0.4)+(1×0.75×0.3)=2.857
2 データ記憶手段
3 統合解析手段
4 関連情報定義記憶手段
5 イベント表示手段
6 期間管理手段
7 総合評価手段
10,20,30 イベント処理装置
31 CPU
32 主記憶部
33 入力部
34 出力部
35 通信部
36 補助記憶部
37 システムバス
38 外部記憶装置
41 イベント検知部
42 データ記憶部
43 統合解析部
44 関連情報定義記憶部
45 イベント表示部
Claims (10)
- 受信したデータが所定の条件を満たす場合に、当該データをイベントとして検知するイベント検知手段と、
前記イベント検知手段が受信したデータを前記イベントの検知結果に依らず記憶するデータ記憶手段と、
データ間の関連性の定義である関連情報定義を記憶する関連情報定義記憶手段と、
前記データ記憶手段へ新たにデータが記憶された際に、前記データ記憶手段に記憶されている過去のデータのうち、前記新たに記憶されたデータとの関係が前記関連情報定義を満たす当該過去のデータを、当該新たに記憶されたデータと結合する統合解析手段と、
結合された前記過去のデータと前記新たに記憶されたデータとを表示するイベント表示手段とを備えた
ことを特徴とするイベント処理装置。 - イベント検知手段は、検知したイベントを即時にイベント表示手段によって表示させる
請求項1記載のイベント処理装置。 - 統合解析手段によって結合された新たに記憶されたデータと過去のデータとを合わせたデータ全体の重要度および信頼度を示すスコアを算出する総合評価手段を備え、
イベント表示手段は、前記スコアを表示する
請求項1または請求項2記載のイベント処理装置。 - イベント表示手段は、総合評価手段が算出したスコアの値が予め定められた閾値を超えた場合にのみ、統合解析手段によって結合されたデータ全体を表示する
請求項3記載のイベント処理装置。 - イベント検知手段が受信した新たなデータから検知したイベントが、同じ発信元から得られた前回のデータから検知したイベントと同一であるかどうか判定を行い、当該判定の結果が同一であれば前記新たなデータをデータ記憶手段に記憶させない期間管理手段を備えた
請求項1から請求項4のうちのいずれか1項に記載のイベント処理装置。 - 期間管理手段は、受信した新たなデータから検知した一のイベントが、同じ発信元から得られた前回のデータから検知したイベントと同一であった場合に、当該一のイベントの継続フラグを立て、その後、前記発信元から得られたデータから前回と異なるイベントを検知した場合に、前記継続フラグを下ろし、
統合解析手段は、前記継続フラグにより前記一のイベントの継続と終了とを判断する
請求項5記載のイベント処理装置。 - 受信したデータが所定の条件を満たす場合に、当該データをイベントとして検知し、
受信した前記データを前記イベントの検知結果に依らずデータ記憶手段に記憶させ、
前記データ記憶手段へ新たにデータが記憶された際に、前記データ記憶手段に記憶されている過去のデータのうち、前記新たに記憶されたデータとの関係がデータ間の関連性の定義である関連情報定義を満たす当該過去のデータを、当該新たに記憶されたデータと結合し、
結合された前記過去のデータと前記新たに記憶されたデータとを表示する
ことを特徴とするイベント処理方法。 - 結合された新たに記憶されたデータと過去のデータとを合わせたデータ全体の重要度および信頼度を示すスコアを算出し、
前記スコアを表示する
請求項7記載のイベント処理方法。 - コンピュータに、
受信したデータが所定の条件を満たす場合に、当該データをイベントとして検知し、受信した前記データを前記イベントの検知結果に依らずデータ記憶手段に記憶させるイベント検知処理と、
前記データ記憶手段へ新たにデータが記憶された際に、前記データ記憶手段に記憶されている過去のデータのうち、前記新たに記憶されたデータとの関係がデータ間の関連性の定義である関連情報定義を満たす当該過去のデータを、当該新たに記憶されたデータと結合する統合解析処理と、
結合された前記過去のデータと前記新たに記憶されたデータとを表示するイベント表示処理と
を実行させるためのイベント処理プログラム。 - コンピュータに、
結合された新たに記憶されたデータと過去のデータとを合わせたデータ全体の重要度および信頼度を示すスコアを算出する総合評価処理を実行させ、
イベント表示処理で、前記スコアを表示させる
請求項9記載のイベント処理プログラム。
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Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021199323A1 (ja) * | 2020-03-31 | 2021-10-07 | 日本電気株式会社 | 管理装置、管理システム、監視システム、推定方法、および記録媒体 |
US20230328076A1 (en) * | 2020-04-15 | 2023-10-12 | Crowdstrike, Inc. | Distributed digital security system |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11645397B2 (en) * | 2020-04-15 | 2023-05-09 | Crowd Strike, Inc. | Distributed digital security system |
US11277473B1 (en) * | 2020-12-01 | 2022-03-15 | Adp, Llc | Coordinating breaking changes in automatic data exchange |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005065149A (ja) * | 2003-08-20 | 2005-03-10 | Sony Corp | 監視システム、情報処理装置および方法、記録媒体、並びにプログラム |
JP2009199356A (ja) * | 2008-02-21 | 2009-09-03 | Osaka Univ | ファイルイベント相関生成装置、管理装置、及びコンピュータプログラム |
JP2012088855A (ja) * | 2010-10-18 | 2012-05-10 | Nec Computertechno Ltd | イベント発生通知装置、イベント発生通知方法、イベント発生通知プログラム |
WO2012111144A1 (ja) * | 2011-02-18 | 2012-08-23 | 株式会社日立製作所 | 不正操作検知方法、不正操作検知システム及び計算機読み取り可能な非一時的記憶媒体 |
WO2012124259A1 (ja) * | 2011-03-14 | 2012-09-20 | 株式会社ニコン | 情報端末、情報提供サーバ及び制御プログラム |
JP2012523025A (ja) * | 2009-04-01 | 2012-09-27 | アイ−セタナ ピーティーワイ リミテッド | データからアノマリーを検出するシステムおよび方法 |
JP2013061794A (ja) * | 2011-09-13 | 2013-04-04 | Nec Corp | セキュリティイベント監視装置、方法およびプログラム |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9053222B2 (en) * | 2002-05-17 | 2015-06-09 | Lawrence A. Lynn | Patient safety processor |
DE10148444A1 (de) * | 2001-10-01 | 2003-04-24 | Siemens Ag | System zur automatischen Personenüberwachung im häuslichen Umfeld |
JP5305520B2 (ja) | 2009-05-19 | 2013-10-02 | パナソニック株式会社 | 監視カメラシステム |
US10140837B2 (en) * | 2010-04-22 | 2018-11-27 | Leaf Healthcare, Inc. | Systems, devices and methods for the prevention and treatment of pressure ulcers, bed exits, falls, and other conditions |
US9607652B2 (en) * | 2010-08-26 | 2017-03-28 | Blast Motion Inc. | Multi-sensor event detection and tagging system |
-
2014
- 2014-06-17 JP JP2015526145A patent/JPWO2015004854A1/ja active Pending
- 2014-06-17 US US14/903,269 patent/US9786147B2/en active Active
- 2014-06-17 WO PCT/JP2014/003243 patent/WO2015004854A1/ja active Application Filing
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2005065149A (ja) * | 2003-08-20 | 2005-03-10 | Sony Corp | 監視システム、情報処理装置および方法、記録媒体、並びにプログラム |
JP2009199356A (ja) * | 2008-02-21 | 2009-09-03 | Osaka Univ | ファイルイベント相関生成装置、管理装置、及びコンピュータプログラム |
JP2012523025A (ja) * | 2009-04-01 | 2012-09-27 | アイ−セタナ ピーティーワイ リミテッド | データからアノマリーを検出するシステムおよび方法 |
JP2012088855A (ja) * | 2010-10-18 | 2012-05-10 | Nec Computertechno Ltd | イベント発生通知装置、イベント発生通知方法、イベント発生通知プログラム |
WO2012111144A1 (ja) * | 2011-02-18 | 2012-08-23 | 株式会社日立製作所 | 不正操作検知方法、不正操作検知システム及び計算機読み取り可能な非一時的記憶媒体 |
WO2012124259A1 (ja) * | 2011-03-14 | 2012-09-20 | 株式会社ニコン | 情報端末、情報提供サーバ及び制御プログラム |
JP2013061794A (ja) * | 2011-09-13 | 2013-04-04 | Nec Corp | セキュリティイベント監視装置、方法およびプログラム |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2021199323A1 (ja) * | 2020-03-31 | 2021-10-07 | 日本電気株式会社 | 管理装置、管理システム、監視システム、推定方法、および記録媒体 |
JPWO2021199323A1 (ja) * | 2020-03-31 | 2021-10-07 | ||
JP7335424B2 (ja) | 2020-03-31 | 2023-08-29 | 日本電気株式会社 | 管理装置、管理システム、監視システム、推定方法、およびプログラム |
US20230328076A1 (en) * | 2020-04-15 | 2023-10-12 | Crowdstrike, Inc. | Distributed digital security system |
US12021884B2 (en) * | 2020-04-15 | 2024-06-25 | Crowdstrike, Inc. | Distributed digital security system |
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