Design of Artificial Intelligence Security Information Access Control System Based on Local Area Network
In recent years,due to the complexity and diversification of the network environment,the operational security and stability of local area network systems have been seriously threatened.To solve the problem of complete hidden dangers in local area networks,this article takes the clone selection fuzzy clustering algorithm in artificial intelligence technology as the starting point and designs an information security access control system that is suitable for most local area network application scenarios.The final test results show that the system can effectively detect various risks and hidden dangers in a local area network environment.The accuracy of the system's capture of internal user violations can reach over 90%,and the detection and processing efficiency of various types of information is high.It can process up to 2500 messages per second,which has the value of continuous research,application,and promotion.
LANartificial intelligencesecurity information access controlinformation detection and processing
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