Research On Intelligent Ship Network Control Platform Based On SDN

The International Maritime Organization(IMO)formally proposed the concept of Maritime Autonomous Surface Ship(MASS)in 2017,and many countries in the world actively carry out MASS related network technology research.Among them,MASS’s internal network is complex,network systems are independent of each other,and there are fewer associated operations between systems and systems,with problems such as low flexibility and difficulty in scaling.In response to this problem,the thesis conducts a research on the intelligent ship network control platform based on the Software Defined Network(SDN)architecture,and the research results have reference significance for promoting the technological development of intelligent ship network.The thesis takes the intelligent research and training dual-purpose ship of Dalian Maritime University as the target object,designs the intelligent ship network control platform,and combines the SDN architecture and the OpenFlow protocol to study the intelligent ship network architecture.In order to support the effective and safe operation of the SDN-based smart ship network,six smart boat network architecture operation strategies are designed:flow table policy,network monitoring policy,data exchange policy,network switching policy,data filtering policy,and security detection and defense policy Based on this,the intelligent ship network control platform is constructed,and the simulation analysis verifies the flexibility,reliability,security and stability of the platform.Based on the design of the network architecture of the smart ship,practical training functions according to ship research and teaching,the data plane of the smart ship network is divided into three subnets: the core network,the scientific research network and the living network,the Internet Protocol(IP)address and the media Access Control(MAC)address of the network node are set.In the network architecture of the smart ship,flow table policy uses the controller to obtain network status information,formulates the flow table entries,and sends the flow table to the corresponding switch to realize the normal communication function of the ship.Network monitoring policies uses the controller to create a green thread to monitor the network status in real time,which enables quick troubleshooting of network faults.The data exchange strategy adopts the Raft consensus algorithm to realize the communication function of some devices between the core network and the scientific research network.In the network switching strategy,the core switch hot backup processing scheme is formulated,which can effectively avoid the instability of the smart ship network caused by the collapse of the switch.The defense strategy adopts the Decision tree(DT)algorithm to detect Distributed denial of service attack(DDoS),and sets up protective measures based on the characteristics of the subnet itself.After being attacked,the life network equipment directly disconnected from the network isolation,scientific research network equipment disconnection isolation at the same time network interception attacker,and the core network introduces the attacker into the honeypot system.For the intelligent ship network control platform constructed above,the Mininet simulation software and Ryu controller are used to verify the effect of the intelligent ship network control platform,the network architecture is verified,and the smart ship network policy is verified in different scenarios.The results show that the platform improves the flexibility,reliability,security and stability of the network,which is of great significance for subsequent in-depth research and construction of an engineering platform.