ABNORMALITY DETECTOR, ABNORMALITY DETECTION METHOD AND ABNORMALITY DETECTION PROGRAM

• Main Authors: MARUYAMA HIROHITO, TAKEICHI YOSHIFUMI, NAKAMURA YOSHITAKA, YAMANAKA AKIHIRO, NAKAGAWA KEIICHIRO, MATSUO AKINORI
• Format: Patent
• Language: English; Japanese
• Published: 07.12.2017
• Subjects: CALCULATING; COMPUTING; CONTROL OR REGULATING SYSTEMS IN GENERAL; CONTROLLING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS; PHYSICS; REGULATING

PROBLEM TO BE SOLVED: To accurately detect abnormality of data to be detected, based on relationship among data.SOLUTION: An abnormality detector 10 includes: a divergence value vector calculation unit 122 configured to calculate a divergence value vector indicating divergence of detection data as a detection object from relationship among data, based on the relationship among data, and a divergence value vector indicating divergence of comparison data as a comparison object from the relationship among data; an abnormality degree calculation unit 123 configured to calculate discrete degree of the divergence value vector of the detection data from aggregation of the divergence value vectors of the comparison data, as degree indicating abnormality; and an abnormality determination unit 124 configured to determine that the detection data is abnormal when the discrete degree exceeds a predetermined threshold.SELECTED DRAWING: Figure 1 【課題】データ間の関係性に基づき、検知対象データの異常検知を精度よく実行することができる。【解決手段】異常検知装置１０は、データ間の関係性に基づいて、検知対象である検知データの、データ間の関係性からの乖離を表す乖離値ベクトルと、比較対象である比較データの、データ間の関係性からの乖離を表す乖離値ベクトルと、を計算する乖離値ベクトル計算部１２２と、検知データの乖離値ベクトルの、比較データの乖離値ベクトルの集合からの離散度合を、異常を示す度合として計算する異常度計算部１２３と、離散度合が所定の閾値を超えた場合に検知データは異常であることを判定する異常判定部１２４と、を有する。【選択図】図１