Automatic marking system of network attack and defense experiment

Abstract

The invention discloses an automatic marking system of a network attack and defense experiment. The system analyzes and marks based on a data package automatically, and consists of an attack party, a defense party, a core switch, a capture package server and a marking server. The automatic marking system provided by the invention is applied to the network attack and defense experiment in a college information safe and comprehensive practical training laboratory, the system will automatically mark according to the capture package server and the marking server so as to judge winning and losing, after the network attack party and the network defense party finish the experiment. Therefore the two parties are more fair, and the efficiency of the integral experiment can be improved; and meanwhile, the technical requirements on teachers can be reduced, and the experimental requirements on different groups can be met.

Description

Technical field [0001] The invention relates to the technical field of network information, in particular to an automatic scoring system for network attack and defense experiments. Background technique [0002] With the development of computer technology and the popularization of the Internet, the problem of information security has become more and more serious. As a new industry, more and more attention has been paid. At the same time, information security is an emerging discipline in many universities. The construction and promotion of the office are in the development stage. Using the information security laboratory to conduct network offensive and defensive experiments is one of the main topics. Offensive and defensive experiments focus on experimental operations, and there are various methods of attack and defense. How to efficiently determine the victory or the score between the offensive and defensive parties? A key issue lies. [0003] At present, offensive and defensive ...

AI Technical Summary

Problems solved by technology

Therefore, it is not possible to accurately score or judge based on the screenshots and methods of both offensive and defensive sides

Moreover, the manual scoring method wastes a lot of time and has high requirements for the network attack and defense skills of the scorers, which often results in the inability to give corresponding results in an experimental class

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