The invention discloses a flow feature
confusion method based on an AI virtual human, and the method comprises the steps: S1, configuring the basic attributes of the virtual human and a preset behavior strategy, and automatically obtaining the fingerprints of
Internet access equipment of a user; s2, virtual
human environment fingerprint camouflage is carried out by configuring a containerized operation environment and adjusting browser fingerprints; s3, dynamically generating behavior parameters for determining a virtual human online task based on LLM drive of preset parameters; and S4, the virtual human calls a local browser driver on line based on the behavior parameters obtained in the S3, simulates human to access the
target site and generates feature traffic. According to the method, the virtual
human Agent is driven by the AI, the
mixed flow is generated by autonomously acting on the network, the user identification and tracking technology of the network access target based on the flow
signal characteristics is effectively interfered, the
signal statistics characteristics of the user internet surfing flow can be effectively mixed, and the method is suitable for the network
privacy protection requirements in various scenes.