Distributed asset identification and change perception method and system

Abstract

The invention relates to an asset identification and change perception method and system. The system comprises a network asset information collection sub-system, an asset data processing sub-system and an asset library; the network asset information collection sub-system collects asset information of a networked active host; and the asset data processing sub-system obtains the asset information ofthe networked active host from the network asset information collection sub-system, and compares the asset information of the networked active host with the confirmed asset attribute information stored in the asset library, so that automatic updating of the asset information of a networked live host in the asset library is realized. According to the asset identification and change perception method and system, the asset information and change thereof can be grasped accurately and dynamically in all aspects; therefore, the accuracy of asset network risk and vulnerability evaluation is obviously improved; the asset vulnerability grasping condition and the fast processing capability are improved; and thus, the response treatment on an attack behaviour is obviously improved.

Description

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AI Technical Summary

Benefits of technology

This technology allows assets or applications with different types of threats (such as cyber-attacks) to quickly identify and respond to potential hazards without being overlooked by external sources like hackers. It also includes advanced analytical tools that help gather important insights into how these risks affect other networks' infrastructure. Overall, this technology helps organizations manage more effectively and efficiently protect against various forms of damage caused during economic activities.

Problems solved by technology

The technical problem addressed in this patented text relates to managing computer networks with multiple different types of machines running at varying speeds or times during their lifetimes. This can lead to potential issues like overheated hardware due to increased demand from new computers being added into them while maintaining consistently high performance capabilities. Additionally, current methods involve manually analyzing data collected through monitoring tools used within the machine itself, making it challenging to identify any existing vulnerability before they damage its own functionality.

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