Design of Intrusion Detection System for Heterogeneous Networks with Multiple Coverage Nodes Based on Agent Artificial Intelligence
Heterogeneous networks have the characteristics of complex structures and large multiple coverage areas,making net-work intrusion detection more covert and threatening the security of network operations.To this end,a heterogeneous network multi coverage node intrusion detection system based on the Agent artificial intelligence is studied.The communication agents are installed through detecting and installing the agents,The Cisco Stealthwatch traffic sensors are taken as heterogeneous network sensors to de-tect attack behavior.The microcontroller of STM 32L151RDT6 with 64 bits is used to transmit batch data,and M AX3232 chip is used to achieve the level conversion of the system,achieving the system hardware design.The intrusion detection standards are implemen-ted by the software design,sensor devices are used to capture real-time network data,Agent technology is adopted to analyze hetero-geneous network protocols and extract data operation characteristics.The protocol analysis results and detection standard matching degree are integrated to achieve multiple coverage node intrusion detection in heterogeneous networks.Experimental results show that heterogeneous network multi coverage node intrusion detection system based on the Agent artificial intelligence has only 6％of intru-sion missed detection rate and 5％of intrusion false detection rate,which can effectively improve detection accuracy and reduce detec-tion errors.
agent artificial intelligenceheterogeneous networkmultiple overlay networkintrusion detection system
万方数据
维普
