Power Internet of Things network security risk prediction method based on Levenshtein distance algorithm

Abstract

The invention relates to the field of network security prediction, in particular to a power Internet of Things network security risk prediction method based on a Levenshtein distance algorithm. The method comprises the following steps of: firstly, taking an attack source IP, an attack behavior and an attack target IP in a single alarm event as effective alarm information, and aiming at each piece of alarm information, taking a current alarm event as a result, searching six most similar alarm events before the occurrence time of the alarm event as causes, thereby constructing a piece of causal data, and storing the causal data into a database to form a causal database; secondly, filtering the causal database; and finally, predicting an alarm event by using the Levenshtein distance algorithm. The problem of poor long-term prediction effect in the system in the prior art is solved.

Description

technical field [0001] The invention relates to the field of network security prediction, and specifically refers to a method for predicting network security risks of the electric power Internet of Things based on the Levenshtein distance algorithm. Background technique [0002] When the scale of the power Internet of Things network gradually increases, the number of accompanying network attack events also gradually increases. The research on network security is very necessary. The traditional protection methods represented by intrusion detection technology and firewall have been difficult to meet the needs of large-scale network attacks. Security protection requirements. Network security protection is based on security situation analysis and security risk prediction. The risk prediction link is in the final stage of the network security situation awareness system. Only by predicting possible alarm events can we do To prevent problems before they happen, and better maintain ...

AI Technical Summary

Problems solved by technology

[0004] Based on the above problems, the present invention provides a method for predicting the security risk of the electric power Internet of Things network based on the Levenshtein distance algorithm, which solves the problem of poor mid- and long-term prediction effect of the existing technology for the system

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