A method of deploying honeynet trapping nodes in batches
A trapping and node technology, applied in the honeynet field, can solve the problems of long deployment time, high resource occupation, and reduced maintainability of trapping nodes
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Embodiment 1
[0029] A method for deploying honeynet trapping nodes in batches, comprising the following steps: S1: Detecting Docker environment installation conditions for running trapping node systems in batches, and installing the Docker environment after successful detection. In step S1, use rpm to install the Docker environment offline on the Docker host machine. The Docker environment includes Docker-ce, Docker-ce-cli and containerd.io, and set Docker-ce, Docker-ce-cli and containerd.io to start automatically. Among them, Docker-ce is a community version release package certified and maintained by the Docker development team, which is used to complete all management tasks in the Docker environment; containerd.io is a daemon program that interacts between the Docker environment and the application program interface of the operating system. In essence, Docker is separated from the operating system, and it also provides container services for non-Docker container managers; Docker-ce-cli i...
Embodiment 2
[0036] A method for deploying honeynet trapping nodes in batches, other features are the same as those in Embodiment 1, except that the protocol used for Docker container configuration information is IPv4 or IPv6. The user and the Docker host machine input information through interactive input, and the Docker host machine program verifies the information entered by the user. After the batch deployment of trapping nodes is completed, batch operations can be performed on trapping nodes, and users can implement batch operations on trapping nodes through operations on containers. Batch operations include trapping on and trapping off. The method for deploying the honeynet trapping nodes in batches can perform batch processing operations on the honeynet trapping nodes, and increases the maintainability of the deployed batch trapping nodes.
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