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Search: "[ keyword: Anomaly Detection ]" (7)
    Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis
    Se-Rin Kim, Ji-Hyun Sung, Beom-Heon Youn, Harksu Cho The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 395-403, Sep. 2024
    https://doi.org/10.3745/TKIPS.2024.13.9.395
    Keywords: CAN, GRU, Anomaly Detection, Time Series, Machine Learning

    Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
    Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 130-139, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.130
    Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain

    Clustering Normal User Behavior for Anomaly Intrusion Detection
    O Sang Hyeon , Lee Won Seog The KIPS Transactions:PartC, Vol. 10, No. 7, pp. 857-866, Dec. 2003
    10.3745/KIPSTC.2003.10.7.857

    Generation of Finite Automata for Intrusion Detection
    Young Hwan Lim , Kyu Bum Wee The KIPS Transactions:PartC, Vol. 10, No. 2, pp. 119-124, Apr. 2003
    10.3745/KIPSTC.2003.10.2.119

    Anomaly Intrusion Detection based on Association Rule Mining in a Database System
    Jeong Ho Park , Sang Hyun Oh , Won Suk Lee The KIPS Transactions:PartC, Vol. 9, No. 6, pp. 831-840, Dec. 2002
    10.3745/KIPSTC.2002.9.6.831

    The Decision Method of A Threshold in Sequence - based Anomaly Detection Sensor
    Yong Min Kim, Min Soo Kim, Hong Gun Kim, Bong Nam Noh The KIPS Transactions:PartC, Vol. 8, No. 5, pp. 507-516, Oct. 2001
    10.3745/KIPSTC.2001.8.5.507

    A Research of Anomaly Detection Method in MS Office Document
    Sung Hye Cho, Sang Jin Lee KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 2, pp. 87-94, Feb. 2017
    10.3745/KTCCS.2017.6.2.87
    Keywords: MS office, Anomaly Detection, Compound File Binary Format, Forensic

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