時系列データを用いた人の危険行動検知手法の開発
英字タイトル:
Development of malicious behavior detection method by using time-series data
著者:
藤田 智之 Tomoyuki FUJITA 出町 和之 Kazuyuki DEMACHI
発刊日:
公開日:
detection methodnuclear securityPCASBMtime-series data
Development of malicious behavior detection method by using time-series data
著者:
藤田 智之 Tomoyuki FUJITA 出町 和之 Kazuyuki DEMACHI
発刊日:
公開日:
カテゴリ: 第13回
キーワードタグ:detection methodnuclear securityPCASBMtime-series data
概要
Under the influence of the F1 accident, there is a growing threat to nuclear security. Among the nuclear security threat, current sensing technique is not effective to sabotage by an insider. In this research, for the purpose of detection of dangerous behavior, dealing with the time-series data. The analysis of the data using PCA(Principal Component Analysis) and SBM(Similarity Based Modeling), was determined for several types of motion.
