A method for intelligently scheduling cloud resources based on DDoS attack

Abstract

The invention relates to the technical field of network security protection, in particular to a method for intelligently scheduling cloud resources under DDoS attack, comprising the steps of integrating cloud resources, monitoring the health status of each node resource server, eliminating overloaded server resources, re-accessing after repair, and seamlessly migrating user services under cloud services. The invention has the advantages of not only monitoring the load state and the hardware utilization rate, but also increasing the cloud resource distribution rate and the state monitoring of the cleaning amount, and pre-evaluating the access node mode. The allocation rate indicates how many resources the cloud resources are allocated, i.e., the utilization rate. The cleaning amount indicates the magnitude of the node's resource cleaning data, and the attack peak value is obtained. The return of the cleaning throughput value is used as the parameter of the pre-evaluation protection. Ability to make resource judgments and adjustments efficiently and in a timely manner; make an effective judgment of cloud resource status in advance to provide users with online services to protect against attacks through the integration of cloud resources to ensure the normal operation of the business carried by users.

Description

technical field [0001] The invention relates to the technical field of network security protection, in particular to a method for intelligently scheduling cloud resources based on DDoS attacks. Background technique [0002] With the rapid development of the Internet, it quickly occupies market share, making more people feel dependent on the Internet. Especially as mobile payments, shared services, the Internet of Things, and artificial intelligence are more connected to Internet platforms, network security has become particularly important. How to prevent flood-like attacks and protect user data security has become the focus of network security, because the server resources of a single node can withstand the attack peak is limited. This requires us to further integrate cloud resources and provide solutions for protecting against malicious attacks under cloud services. Based on the different needs of users and the consideration of different weight priorities, it is necessar...

AI Technical Summary

Problems solved by technology

At present, most customers use a single device for protection. As a result, the defense performance of a single device under large-scale attacks is limited. On the one hand, the master-slave device switch is not timely, and due to timeliness issues, the services provided by users cannot operate normally.

The traditional resource health status monitoring method under cloud protection can only solve non-persistent malicious attacks, and does not make pre-assessment and early-warning strategic defenses for attacks, which will result in insufficient response to attacks in a timely manner. The resource polling speed is too slow, and the user business is not pulled in time, causing the service to be attacked intermittently

It cannot play a good role in resource scheduling under cloud services