Research And Implementation Of Physic A Network Topology Discovery And Virtual Network Reconstruction System

With the vigorous development of computer network technology,more and more enterprises have invested in the construction of informatization,and the network is the foundation of any informatization construction.However,the complexity of the computer network environment and the heterogeneity between network equipment and protocols have brought many difficulties to network topology discovery,network management,security defense,testing,and risk assessment.Network topology discovery is an important part of network management.Traditional network topology discovery has the problems of single data source utilization,greater coupling of data and detection methods,and single network detection level.There are also many difficulties for physical network security defense,risk assessment is limited by physical structure.By converting the physical network topology to the corresponding virtual network topology,a deception honeynet can be formed.In view of the above problems,the paper studies the network topology discovery method and the virtual network reconstruction mechanism and proposes knowledge-based reasoning network topology discovery method and the physical network topology reconstruction method in the virtual network,design and implement the physical network topology discovery and virtual network reconstruction system.The main contents of the paper are as follows:1.Propose a network topology discovery method based on knowledge reasoning,use OWL language for ontology modeling in the field of network topology discovery,conduct conceptual formal description,use RDF for knowledge representation,finally use rule-based knowledge reasoning,and use SPARQL query language to generate network topology.2.Propose the DAG modeling of the network topology.DAG is introduced to model the workflow for the reconstruction and scheduling task of the physical network to the virtual network.The network element objects are abstracted as points,and the dependencies between objects are ed as edges.Research from three aspects:modeling thought,modeling mechanism,and modeling process.3.Propose a DAG-based workflow generation algorithm.The algorithm uses DAG as input to generate a reconstruction task scheduling process and determine the reconstruction order of physical network element objects,including parallel order and serial order.4.Designed and implemented the physical network topology discovery and virtual network reconstruction system.The system realized the ontology modeling,knowledge representation,knowledge reasoning,and topology generation functions in the field of network topology discovery,completed DAG modeling,workflow generation,and virtual network platform scheduling and the reconstruction of the physical network topology to the virtual network platform.The thesis conducts functional and performance experiments on the system.The experiments show that the system is feasible and easy to use.