A General Approach to Conflict Detection in Software-Defined Networks

被引：0
|
作者：
Tran C.N. [1 ]
Danciu V. [1 ]
机构：
[1] Ludwig-Maximilians-Universität München, Oettingenstr. 67, Munich
来源：
SN Computer Science | 2020年 / 1卷 / 1期
关键词：
Conflict detection; Conflict handling; Experimental approach; Software-defined networks;
D O I：
10.1007/s42979-019-0009-9
中图分类号：
学科分类号：
摘要：
Software-defined networks (SDN) replacing the network appliances of traditional networks with logically centrally deployed applications, which are able to introduce the network function they implement into any element in the network. This flexibility renders SDN prone to conflict. We demonstrate conflict between applications in a laboratory setting to emphasize the importance of conflict detection in production networks. The evaluation of an analytical approach shows substantial obstacles in the general case. Our experimental approach produces conflict classes and detection patterns by means of studying network behaviour in the presence of multiple applications and traffic profiles being applied to different topologies. Based on such experiments, we illustrate the extraction of conflict patterns and their application to conflict detection in new situations. © 2019, Springer Nature Singapore Pte Ltd.
引用
收藏
相关论文
共 50 条
  • [31] An analysis of software-defined routing approach for wireless sensor networks
    Manisekaran, S. V.
    Venkatesan, R.
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2016, 56 : 456 - 467
  • [32] A Multicontroller Load Balancing Approach in Software-Defined Wireless Networks
    Yao, Haipeng
    Qiu, Chao
    Zhao, Chenglin
    Shi, Lei
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2015,
  • [33] A comprehensive approach for optimizing controller placement in Software-Defined Networks
    Schutz, G.
    Martins, J. A.
    [J]. COMPUTER COMMUNICATIONS, 2020, 159 : 198 - 205
  • [34] A Hierarchical Pseudonyms Management Approach for Software-Defined Vehicular Networks
    Huang, Xumin
    Kang, Jiawen
    Yu, Rong
    Wu, Maoqiang
    Zhang, Yan
    Gjessing, Stein
    [J]. 2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [35] Software-Defined Vehicular Networks: A Cooperative Approach for Computational Offloading
    Shah, Syed Danial Ali
    Gregory, Mark A.
    Li, Shuo
    [J]. 2020 30TH INTERNATIONAL TELECOMMUNICATION NETWORKS AND APPLICATIONS CONFERENCE (ITNAC), 2020, : 19 - 21
  • [36] A Software Approach for Mitigation of DoS Attacks on SDN's (Software-Defined Networks)
    Lotlikar, Trupti
    Shah, Deven
    [J]. SOFT COMPUTING IN DATA ANALYTICS, SCDA 2018, 2019, 758 : 333 - 342
  • [37] An Extension Approach for Threat Detection and Defense of Software-Defined Networking
    Xu, Hui
    Wang, Chunzhi
    Chen, Hongwei
    [J]. INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2016, 10 (02): : 365 - 374
  • [38] Dynamic behavioral profiling for anomaly detection in software-defined IoT networks: A machine learning approach
    Senthilraja, P.
    Palaniappan, Kanmani
    Duraipandi, Brindha
    Balasubramanian, Uma Maheswari
    [J]. PEER-TO-PEER NETWORKING AND APPLICATIONS, 2024, 17 (04) : 2450 - 2469
  • [39] Hybrid Deep Learning Approach for Automatic DoS/DDoS Attacks Detection in Software-Defined Networks
    Elubeyd, Hani
    Yiltas-Kaplan, Derya
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (06):
  • [40] Software-Defined Mobile Networks Security
    Min Chen
    Yongfeng Qian
    Shiwen Mao
    Wan Tang
    Ximin Yang
    [J]. Mobile Networks and Applications, 2016, 21 : 729 - 743
12345