Network security assessment method, device and equipment for attack and defense drilling and storage medium

By collecting dynamic network data in real time and calculating evaluation scores, the problem of lagging evaluation in cybersecurity attack and defense exercises was solved, enabling real-time quantitative evaluation and strategy optimization, thereby improving the effectiveness and security of the exercises.

CN120880684APending Publication Date: 2025-10-31PENG CHENG LAB
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Patent Information

Application Number
CN202510734337.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-03
Publication Date
2025-10-31

AI Technical Summary

Technical Problem

Existing technologies cannot capture the tactical evolution of attack and defense confrontations in real time during cybersecurity attack and defense exercises. The assessment results are lagging and lack calculable comprehensive evaluation indicators, resulting in distorted assessment results and difficulty in guiding defense optimization.

Method used

By collecting dynamic network data in real time during attack and defense exercises, a weight matrix is ​​obtained, an evaluation score is calculated, and strategies for the adversary and defender are generated based on the evaluation score. The weights are dynamically adjusted to reflect the attack and defense situation, achieving second-level evaluation and strategy optimization.

Benefits of technology

It enables real-time quantitative evaluation of cybersecurity attack and defense drills, provides reliable strategy guidance, improves the effectiveness and security of drills, and optimizes the drill process through closed-loop feedback.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the invention provides a network security evaluation method and device for attack and defense drilling, equipment and a storage medium, and relates to the technical field of network attack and defense. The method comprises the following steps: acquiring various dynamic network data in attack and defense drilling in real time, acquiring a current attack stage and a weight matrix corresponding to the current attack stage, and then acquiring a parameter weight of each network parameter and a type weight of each dynamic network data to calculate an evaluation score; and generating a confrontation strategy of the confrontation party and / or a defense strategy of the defense party according to the evaluation score, performing drill adjustment according to the confrontation strategy and / or the defense strategy, obtaining an updated evaluation score according to the updated dynamic network data, and further obtaining a target evaluation score. The quantitative evaluation real-time performance of the network security attack and defense drill is improved, the evaluation emphasis of different attack stages is self-adapted through dynamic adjustment of the parameter weight and the type weight, the self-optimization of the drill process is realized through closed-loop feedback, and the effectiveness and the security of the attack and defense drill are improved.
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