A Distributed Intrusion Detection System for Industrial Automation Networks

被引：0
|
作者：
Schuster, Franka [1 ]
Paul, Andreas [1 ]
机构：
[1] IHP Innovat High Performance Microelect, Frankfurt, Oder, Germany
来源：
2012 IEEE 17TH CONFERENCE ON EMERGING TECHNOLOGIES & FACTORY AUTOMATION (ETFA) | 2012年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Modern automation is measured in terms of interoperability and easy administration. Introducing technology focussing on these criteria, however, induce new security risks to existing and future automation installations. Current security approaches in automation do not keep pace with the rising security challenges. Prevalent in automation is the use of access control to protect the system from malicious activity, such as extern attacks. Means to inspect the automation traffic to identify attacks that already have overcome access control or are initiated from inside the automation system are not available, yet. For filling this gap, we investigate in the application of intrusion detection techniques on industrial automation. In this paper, we present the current state of an intrusion detection system tailored to the analysis of operation down to traffic between automation devices on field layer.
引用
收藏
页数：4
相关论文
共 50 条
  • [41] An adaptive model of a distributed intrusion detection system
    Platonov V.V.
    Semenov P.O.
    Automatic Control and Computer Sciences, 2017, 51 (8) : 894 - 898
  • [42] A Distributed Intrusion Detection System Based on Agents
    Liu, Jianxiao
    Li, Lijuan
    PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS, 2008, : 531 - 535
  • [43] Distributed Micro-intrusion detection system
    Liu, K.
    Han, Z.
    Jin, H.
    Lu, Y.
    Huazhong Ligong Daxue Xuebao/Journal Huazhong (Central China) University of Science and Technology, 2001, 29 (11): : 45 - 47
  • [44] Physical Intrusion Detection for Industrial Control System
    Liu, Pengfei
    Liu, Ting
    2018 IEEE CONFERENCE ON COMMUNICATIONS AND NETWORK SECURITY (CNS), 2018,
  • [45] DESIGN AND IMPLEMENTATION OF AN ANOMALY-BASED INTRUSION DETECTION SYSTEM FOR WIRELESS INDUSTRIAL NETWORKS
    Wei, Min
    Kim, Keecheon
    Wang, Ping
    FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2012), 2012, : 879 - 886
  • [46] Distributed collaborative intrusion detection system for vehicular Ad Hoc networks based on invariant
    Zhou, Man
    Han, Lansheng
    Lu, Hongwei
    Fu, Cai
    COMPUTER NETWORKS, 2020, 172
  • [47] A new distributed intrusion detection system model based on SVM in Wireless Mesh Networks
    Zhang, Chunfei
    Fang, Zhiyi
    Journal of Information and Computational Science, 2015, 12 (02): : 751 - 759
  • [48] Explaining the Attributes of a Deep Learning Based Intrusion Detection System for Industrial Control Networks
    Wang, Zhidong
    Lai, Yingxu
    Liu, Zenghui
    Liu, Jing
    SENSORS, 2020, 20 (14) : 1 - 23
  • [49] A hybrid CNN+LSTM-based intrusion detection system for industrial IoT networks
    Altunay, Hakan Can
    Albayrak, Zafer
    ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, 2023, 38
  • [50] A Two Stage Intrusion Detection System for Industrial Control Networks Based on Ethernet/IP
    Yu, Wenbin
    Wang, Yiyin
    Song, Lei
    ELECTRONICS, 2019, 8 (12)
12345