Network traffic features for anomaly detection in specific industrial control system network

被引：0
|
作者：
机构：
[1] Mantere, Matti
[2] Sailio, Mirko
[3] Noponen, Sami
来源：
Mantere, Matti (matti.mantere@vtt.fi) | 1600年 / MDPI AG卷 / 05期
关键词：
Learning algorithms - Learning systems - Control systems - Feature extraction;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs
    Nie, Laisen
    Wu, Yixuan
    Wang, Huizhi
    Li, Yongkang
    IEEE ACCESS, 2019, 7 : 177954 - 177964
  • [42] Anomaly Detection Based on Spatio-Temporal and Sparse Features of Network Traffic in VANETs
    Nie, Laisen
    Wang, Huizhi
    Gong, Shimin
    Ning, Zhaolong
    Obaidat, Mohammad S.
    Hsiao, Kuei-Fang
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [43] Orthogonal Features Fusion Network for Anomaly Detection
    Ma, Teli
    Wang, Yizhi
    Shao, Jinxin
    Zhang, Baochang
    Doermann, David
    2020 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (VCIP), 2020, : 33 - 37
  • [44] Learning Features of Brain Network for Anomaly Detection
    Liu, Jiaxin
    Zhao, Wei
    Hong, Ye
    Gao, Sheng
    Huang, Xi
    Zhou, Yingjie
    IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 900 - 905
  • [45] Distributed Intelligent System of Network Traffic Anomaly Detection Based on Artificial Immune System
    Vasilyev, Vladimir
    Shamsutdinov, Rinat
    PROCEEDINGS OF THE 7TH SCIENTIFIC CONFERENCE ON INFORMATION TECHNOLOGIES FOR INTELLIGENT DECISION MAKING SUPPORT (ITIDS 2019), 2019, 166 : 40 - 45
  • [46] A Real-time Network Traffic Anomaly Detection System based on Storm
    He, Gang
    Tan, Cheng
    Yu, Dechen
    Wu, Xiaochun
    2015 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS IHMSC 2015, VOL I, 2015, : 153 - 156
  • [47] A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection
    Song, Wenguang
    Beshley, Mykola
    Przystupa, Krzysztof
    Beshley, Halyna
    Kochan, Orest
    Pryslupskyi, Andrii
    Pieniak, Daniel
    Su, Jun
    SENSORS, 2020, 20 (06)
  • [48] Behavioral Anomaly Detection System on Network Application Traffic from Many Sensors
    Nagata, Akira
    Kotera, Kohei
    Nakamura, Katsuichi
    Hori, Yoshiaki
    2014 IEEE 38TH ANNUAL INTERNATIONAL COMPUTERS, SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), 2014, : 600 - 601
  • [49] Self-similarity based network anomaly detection for industrial control systems
    Martin, Bryan
    Bollmann, Chad A.
    2023 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY, CNS, 2023,
  • [50] A real-time network based anomaly detection in industrial control systems
    Zare, Faeze
    Mahmoudi-Nasr, Payam
    Yousefpour, Rohollah
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2024, 45
12345