Digital Library

Search: "[ keyword: SVM ]" (13)
    HTTP Intrusion Detection Model Using Machine Learning in Hadoop Environment
    김형기, 김문현, Vol. 31, No. 2, pp. 211-220, Apr. 2021
    10.13089/JKIISC.2021.31.2.211
    Keywords: Machine Learning, Word to Vector, SVM, Hadoop, Machine Learning, Word to Vector, SVM, Hadoop

    Machine Learning-Based Detection of Cache Side Channel Attack Using Performance Counter Monitor of CPU
    황종배, 배대현, 하재철, Vol. 30, No. 6, pp. 1237-1246, Dec. 2020
    10.13089/JKIISC.2020.30.6.1237
    Keywords: Cache-based Side Channel Attack, Spectre Attack, AES, Performance Counter Monitor, SVM, RF, MLP, Cache-based Side Channel Attack, Spectre Attack, AES, Performance Counter Monitor, SVM, RF, MLP

    Implementation and Analysis of Power Analysis Attack Using Multi-Layer Perceptron Method
    권홍필, 배대현, 하재철, Vol. 29, No. 5, pp. 997-1006, Oct. 2019
    10.13089/JKIISC.2019.29.5.997
    Keywords: Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM, Side-Channel Analysis, Power Analysis Attack, Deep Learning MLP, Machine Learning SVM

    A Practical Feature Extraction for Improving Accuracy and Speed of IDS Alerts Classification Models Based on Machine Learning
    Iksoo Shin, Jungsuk Song, Jangwon Choi, Taewoong Kwon, Vol. 28, No. 2, pp. 385-395, Apr. 2018
    10.13089/JKIISC.2018.28.2.385
    Keywords: Network Security, IDS, False Alarm, Machine Learning, SVM, Network Security, IDS, False Alarm, Machine Learning, SVM

    Breaking character and natural image based CAPTCHA using feature classification
    Jaehwan Kim, Suah Kim, Hyoung Joong Kim, Vol. 25, No. 5, pp. 1011-1020, Oct. 2015
    10.13089/JKIISC.2015.25.5.1011
    Keywords: CAPTCHA, Breaking CAPTCHA, SVM, CNN, HSV color space

    New feature and SVM based advanced classification of Computer Graphics and Photographic Images
    DooWon Jeong, Hyunji Chung, Ilyoung Hong, Sangjin Lee, Vol. 24, No. 2, pp. 311-318, Apr. 2014
    10.13089/JKIISC.2014.24.2.311
    Keywords: jpeg, Computer graphics, Photographic images, Features, SVM

    Detecting Rogue AP using k-SVM method
    Jae-Wook Lee, Si-Young Lee, Jong-Sub Moon, Vol. 24, No. 1, pp. 87-96, Feb. 2014
    10.13089/JKIISC.2014.24.1.87
    Keywords: rogue AP, Network, SVM, LTE

    Anomaly Detection for IEC 61850 Substation Network
    Yong-Hun Lim, Hyunguk Yoo, Taeshik Shon, Vol. 23, No. 5, pp. 939-946, Oct. 2013
    10.13089/JKIISC.2013.23.5.939
    Keywords: Anomaly Detection, IEC 61850 Substation, MMS/GOOSE, Normal Behavior Profiling, One-class SVM

    Analysis of Naver CAPTCHA with Effective Segmentation
    Dae Hun Nyang, Yong Heon Choi, Seok Jun Hong, Kyunghee Lee, Vol. 23, No. 5, pp. 909-918, Oct. 2013
    10.13089/JKIISC.2013.23.5.909
    Keywords: CAPTCHA, Breaking CAPTCHA, SVM, Character Separation

    Relaying Rogue AP detection scheme using SVM
    Sung-Bae Kang, Dae-Hun Nyang, Jin-Chun Choi, Sok-Joon Lee, Vol. 23, No. 3, pp. 431-444, Jun. 2013
    10.13089/JKIISC.2013.23.3.431
    Keywords: rogue AP, SVM, wireless network, Network Security

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