A Flow-based IDS for SDN-enabled Tactical Networks
Skhumbuzo G. Zwane, Paul Tarwireyi, Matthew Olusegun Adigun · 2019
Tactical Mobile Ad hoc Networks (TMANET) have received much attention in recent years due to their ability to provide network connectivity to tactical mobile nodes in a battlefield without any infrastructure. Additionally, they provide decentralization, self-organizing, robustness and scalability to tactical nodes. Research in the tactical network domain indicates that network security remains a critical and continuous issue that needs attention. Researchers have identified the lack of a central management and control unit as one of the limitations in such networks. That is, there is no single management system by which the network and security services can be configured and provisioned. This paper proposes a flow-based Intrusion Detection System (IDS) framework for TMANETs. The proposed flow-based IDS framework leverages Machine Learning (ML) and software-defined network (SDN) to achieve anomaly detection in TMANETs. The paper also discusses the envisaged deployment scenarios and the capabilities of the proposed system.