A method for generating a local network graph based on the analysis of address sets

Abstract

Introduction. The paper deals with the problem of automated construction of a local area network using tools and methods for traffic analysis at the link layer of OSI model. The problem is caused by two factors. These are difficulties of the manual determination of the communication between equipment and the lack of physical access to communication lines of an already functioning network. The purpose of the work is to reduce the time spent on building a local network diagram through automating the process of determining the communication between the equipment. Materials and Methods. To solve the set tasks, a method for determining the relative location of devices is proposed. The network adapters of a specialized software and hardware complex, which are connected to a communication line break at different points of the network, are used in opposite directions. The method used is based on calculations of intersections of address sets received from these adapters. The structural schemes of the construction of such a software and hardware complex and the requirements for it are given. The methods of obtaining MAC addresses from transit packets are described. Examples of libraries of software components for performing this operation are given. The structure of a relational database is proposed for storing the received data. The format and content of the fields of its table are described. Results. Using the developed methods, a typical example of an Ethernet network shows a way to determine the relative location of end devices specified by their MAC addresses, as well as at least two switches located between them. The signs by which it is possible to judge the presence of switching equipment in a particular segment are determined. A method is proposed that enables through using a set of relational operations, to sequentially refine the network topology until the required accuracy is achieved. Discussion and Conclusions. The results obtained can be used under the administration of large local networks with an extensive structure. The proposed approach allows you to reduce the time required for building a scheme. This is possible due to the automation of the process of obtaining information about devices operating on the network and their mutual location.