Integration of Network Services in Tactical Coalition SDN Networks

In order for Software Defined Network (SDN) technology to work in a military network, several identified problems need to be solved. This paper reports from experimental efforts to extend the application of SDN to a multi-domain, coalition, mobile network with wireless links and with end systems belonging to several Communities Of Interest (COI). The paper also demonstrates how SDN technology allows different network services to be integrated with a single class of Network Elements (NE). Considerations related to authentication, COI separation and intrusion prevention is given special attention during the discussions. Keywords—authentication; intrusion prevention; software defined networks; tactical networks; trust management

[1]  Naveen K. Chilamkurti,et al.  Survey on SDN based network intrusion detection system using machine learning approaches , 2018, Peer-to-Peer Networking and Applications.

[2]  H. S. Saini,et al.  Innovations in Electronics and Communication Engineering , 2020, Lecture Notes in Networks and Systems.

[3]  Anders Fongen,et al.  Trust management in tactical coalition software defined networks , 2018, 2018 International Conference on Military Communications and Information Systems (ICMCIS).

[4]  Atilla Özgür,et al.  A review of KDD99 dataset usage in intrusion detection and machine learning between 2010 and 2015 , 2016, PeerJ Prepr..

[5]  W. Buck,et al.  MININET , 1979, Prax. Inf.verarb. Kommun..

[6]  Kostas Pentikousis,et al.  Software-Defined Networking (SDN): Layers and Architecture Terminology , 2015, RFC.

[7]  Tricia J. Willink,et al.  SDN in coalition tactical networks , 2016, MILCOM 2016 - 2016 IEEE Military Communications Conference.

[8]  Mounir Ghogho,et al.  Deep learning approach for Network Intrusion Detection in Software Defined Networking , 2016, 2016 International Conference on Wireless Networks and Mobile Communications (WINCOM).

[9]  Marek Amanowicz,et al.  Intrusion Detection in Software Defined Networks with Self-organized Maps , 2015 .