CERN Investigation of Network Behaviour and Anomaly Detection

被引:0
|
作者
Hulboj, Milosz Marian [1 ]
Jurga, Ryszard Erazm [1 ]
机构
[1] CERN, HP Procurve Openlab Project, CH-1211 Geneva 23, Switzerland
关键词
computer networks; anomaly detection; packet sampling; network monitoring;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The CINBAD (CERN Investigation of Network Behaviour and Anomaly Detection) project was launched in 2007 in collaboration with Pro Curve Networking by HP. The project mission is to understand the behaviour of large computer networks in the context of high performance computing and large campus installations such as at CERN, whose network today counts roughly 70,000 Gigabit user ports. The goals of the project are to be able to detect traffic anomalies in such systems, perform trend analysis, automatically take counter measures and provide post-mortem analysis facilities. This paper will present the main project principles, data sources, data collection and analysis approaches as well as the initial findings.
引用
收藏
页码:353 / 354
页数:2
相关论文
共 50 条
  • [31] An Encoding Adversarial Network for Anomaly Detection
    Gherbi, Elies
    Hanczar, Blaise
    Janodet, Jean-Christophe
    Klaudel, Witold
    [J]. ASIAN CONFERENCE ON MACHINE LEARNING, VOL 101, 2019, 101 : 188 - 203
  • [32] Fog Intelligence for Network Anomaly Detection
    Yang, Kai
    Ma, Hui
    Dou, Shaoyu
    [J]. IEEE NETWORK, 2020, 34 (02): : 78 - 82
  • [33] A Unified Approach to Network Anomaly Detection
    Babaie, Tahereh
    Chawla, Sanjay
    Ardon, Sebastien
    Yu, Yue
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2014, : 650 - 655
  • [34] Network Anomaly Detection Based on WaveNet
    Kokkonen, Tero
    Puuska, Samir
    Alatalo, Janne
    Heilimo, Eppu
    Makela, Antti
    [J]. INTERNET OF THINGS, SMART SPACES, AND NEXT GENERATION NETWORKS AND SYSTEMS, NEW2AN 2019, RUSMART 2019, 2019, 11660 : 424 - 433
  • [35] A comprehensive survey on network anomaly detection
    Gilberto Fernandes
    Joel J. P. C. Rodrigues
    Luiz Fernando Carvalho
    Jalal F. Al-Muhtadi
    Mario Lemes Proença
    [J]. Telecommunication Systems, 2019, 70 : 447 - 489
  • [36] Anomaly detection for network traffic flow
    Shan, Rongsheng
    Li, Jianhua
    Wang, Mingzheng
    [J]. Journal of Southeast University (English Edition), 2004, 20 (01) : 16 - 20
  • [37] Network anomaly detection with concise attributes
    Peng Xinguang
    Shan Xiaobo
    [J]. ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS, 2007, : 77 - 80
  • [38] NADA - Network Anomaly Detection Algorithm
    Farraposo, Silvia
    Owezarski, Philippe
    Monteito, Edmundo
    [J]. MANAGING VIRTUALIZATION OF NETWORKS AND SERVICES, PROCEEDINGS, 2007, 4785 : 191 - +
  • [39] Anomaly detection in symmetric network traffic
    Yu, Ming
    Zhou, Xi-Yuan
    [J]. WSEAS Transactions on Information Science and Applications, 2007, 4 (09): : 1360 - 1364
  • [40] A comprehensive survey on network anomaly detection
    Fernandes, Gilberto
    Rodrigues, Joel J. P. C.
    Carvalho, Luiz Fernando
    Al-Muhtadi, Jalal F.
    Proenca, Mario Lemes, Jr.
    [J]. TELECOMMUNICATION SYSTEMS, 2019, 70 (03) : 447 - 489