Virtual encryptor device, financial encryptor and method of encrypting message

Abstract

The invention discloses a virtual encryptor device including one or more virtual machine modules; a configuration management module for configuring a corresponding virtual machine module for each physical encryptor; and a unified scheduling module for receiving a message to be encrypted from an external system. A key value group matrix of the message to be encrypted is generated according to a scheduling algorithm; and based on the key value group matrix, dual processing load of the physical encryptors and the message to be encrypted is determined and the virtual machine module is selected for preprocessing the message to be encrypted. The invention also discloses a financial encryptor including the virtual encryptor device and a method of encrypting a message by use of the virtual encryptor device.

Description

technical field [0001] The invention relates to the field of information security of cloud computing, in particular to a virtual encryption machine device, a financial encryption machine and a method for encrypting messages. Background technique [0002] Cloud computing is the growth, usage, and delivery model of Internet-based related services, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. Under the cloud computing platform, the unified management and centralized scheduling of encryption machine resources has gradually become an important realization goal. [0003] After research, the existing solutions have the following problems in practical application. First, the existing centralized scheduling is based on processes, and it is difficult to achieve high availability of a certain service by a physical encryption machine. If a process fails, all related services on the process queue will be lost. Second, the cu...

AI Technical Summary

Problems solved by technology

First, the existing centralized scheduling is based on processes, and it is difficult to achieve high availability of a physical encryption machine for a certain business. If a certain process fails, all related services on the process queue will be lost.

Second, the current centralized scheduling algorithm is mainly aimed at achieving load balancing for a specific business, and it is difficult to comprehensively achieve load balancing for physical encryption machines and different business applications. In the future cloud computing platform, encryption machine clusters will be massively distributed. For business message access, the current load balancing scheduling algorithm is difficult to provide effective technical support

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