A method for discovering surviving devices in a full-scene large-scale network segment

By using gateway-based address-based gating and adaptive concurrent deep probing, the problem of low efficiency and resource waste in network device discovery in large-scale network segments is solved, achieving fast, accurate, and reliable discovery of live devices, adapting to complex network environments.

CN122420182APending Publication Date: 2026-07-17

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Filing Date
2026-05-29
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing network device discovery methods are inefficient in large-scale, sparsely distributed address spaces, resulting in significant resource waste, high uncertainty in results, and an inability to dynamically adapt to changes in the network environment, leading to network congestion or excessively long scanning cycles.

Method used

It adopts a layered architecture of screening first and then deep probing. It dynamically adjusts the probing behavior through gateway-based address screening and multi-dimensional operation indicators, including gateway-based address gating screening and adaptive concurrent deep probing. Combined with a batch flow control mechanism triggered by dual thresholds, it can quickly and accurately discover live devices.

Benefits of technology

It greatly improves scanning efficiency, reduces resource waste, ensures scanning stability and accuracy, can adapt to dynamic network environments, avoids network congestion and device overload, and enables rapid and reliable discovery of live devices on a large scale across all scenarios.

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Abstract

本发明涉及计算机网络探测与资产管理技术领域,具体涉及一种面向全场景大规模网段的存活设备快速发现方法,包括:S1,基于网关式地址的门控筛选:接收目标IP地址范围分割为多个候选子网生成包含至少一个网关式地址的集合;对网关式地址集合并发探测,生成仅包含活跃子网内全部IP地址深度探测列表;S2,自适应并发深度探测:基于深度探测列表,对列表中IP地址存活探测与设备信息采集;并发参数根据多维运行指标动态调整;S3,设备信息处理:对S2采集到的设备信息标准化处理与存储。本发明采用先筛选,后深度探测的分层架构,并通过多维运行指标动态调节探测行为,在保证探测完整性前提下,极大提升扫描效率并降低对系统及网络影响。
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