Industrial control network intrusion detection system and method
The invention discloses an industrial control network intrusion detection system and method. The parameter selection module selects process parameters with strong correlation according to the Pearson correlation coefficient and the Spearman rank correlation coefficient; the parameter prediction algo...
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creator | DU XUEQIANG QIAN JUNLEI JIA MEIJUAN WANG YUELIN SONG ZHANXIAN DU YUNLEI XU XIAOLIANG LIU LIHONG AN JIANGWEI |
description | The invention discloses an industrial control network intrusion detection system and method. The parameter selection module selects process parameters with strong correlation according to the Pearson correlation coefficient and the Spearman rank correlation coefficient; the parameter prediction algorithm module performs prediction by adopting an algorithm based on T-S fuzzy and matrix decomposition; a state verification module is used for verification; the state verification module adopts an error beta between a predicted value and a detection value of the predicted parameter and a threshold value theta of the error beta to verify whether the error is abnormal; the network intrusion positioning module is used for positioning an intrusion point by adopting a threshold value sigma of an error average value e and beta-e in a normal state in cooperation with a normal state error curve; and the reason causing the data exception is verified and judged through the preorder process and the subsequent process. Accordi |
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The parameter selection module selects process parameters with strong correlation according to the Pearson correlation coefficient and the Spearman rank correlation coefficient; the parameter prediction algorithm module performs prediction by adopting an algorithm based on T-S fuzzy and matrix decomposition; a state verification module is used for verification; the state verification module adopts an error beta between a predicted value and a detection value of the predicted parameter and a threshold value theta of the error beta to verify whether the error is abnormal; the network intrusion positioning module is used for positioning an intrusion point by adopting a threshold value sigma of an error average value e and beta-e in a normal state in cooperation with a normal state error curve; and the reason causing the data exception is verified and judged through the preorder process and the subsequent process. 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The parameter selection module selects process parameters with strong correlation according to the Pearson correlation coefficient and the Spearman rank correlation coefficient; the parameter prediction algorithm module performs prediction by adopting an algorithm based on T-S fuzzy and matrix decomposition; a state verification module is used for verification; the state verification module adopts an error beta between a predicted value and a detection value of the predicted parameter and a threshold value theta of the error beta to verify whether the error is abnormal; the network intrusion positioning module is used for positioning an intrusion point by adopting a threshold value sigma of an error average value e and beta-e in a normal state in cooperation with a normal state error curve; and the reason causing the data exception is verified and judged through the preorder process and the subsequent process. Accordi</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHDwzEspLS4pykzMUUjOzyspys9RyEstKc8vylbIBHJLizPz8xRSUktSk0tArOLK4pLUXIXEvBSF3NSSjPwUHgbWtMSc4lReKM3NoOjmGuLsoZtakB-fWlyQmJwKNC_e2c_Q0MzA0sTc3MTRmBg1AEK6MkI</recordid><startdate>20230509</startdate><enddate>20230509</enddate><creator>DU XUEQIANG</creator><creator>QIAN JUNLEI</creator><creator>JIA MEIJUAN</creator><creator>WANG YUELIN</creator><creator>SONG ZHANXIAN</creator><creator>DU YUNLEI</creator><creator>XU XIAOLIANG</creator><creator>LIU LIHONG</creator><creator>AN JIANGWEI</creator><scope>EVB</scope></search><sort><creationdate>20230509</creationdate><title>Industrial control network intrusion detection system and method</title><author>DU XUEQIANG ; QIAN JUNLEI ; JIA MEIJUAN ; WANG YUELIN ; SONG ZHANXIAN ; DU YUNLEI ; XU XIAOLIANG ; LIU LIHONG ; AN JIANGWEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116094774A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><toplevel>online_resources</toplevel><creatorcontrib>DU XUEQIANG</creatorcontrib><creatorcontrib>QIAN JUNLEI</creatorcontrib><creatorcontrib>JIA MEIJUAN</creatorcontrib><creatorcontrib>WANG YUELIN</creatorcontrib><creatorcontrib>SONG ZHANXIAN</creatorcontrib><creatorcontrib>DU YUNLEI</creatorcontrib><creatorcontrib>XU XIAOLIANG</creatorcontrib><creatorcontrib>LIU LIHONG</creatorcontrib><creatorcontrib>AN JIANGWEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>DU XUEQIANG</au><au>QIAN JUNLEI</au><au>JIA MEIJUAN</au><au>WANG YUELIN</au><au>SONG ZHANXIAN</au><au>DU YUNLEI</au><au>XU XIAOLIANG</au><au>LIU LIHONG</au><au>AN JIANGWEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Industrial control network intrusion detection system and method</title><date>2023-05-09</date><risdate>2023</risdate><abstract>The invention discloses an industrial control network intrusion detection system and method. The parameter selection module selects process parameters with strong correlation according to the Pearson correlation coefficient and the Spearman rank correlation coefficient; the parameter prediction algorithm module performs prediction by adopting an algorithm based on T-S fuzzy and matrix decomposition; a state verification module is used for verification; the state verification module adopts an error beta between a predicted value and a detection value of the predicted parameter and a threshold value theta of the error beta to verify whether the error is abnormal; the network intrusion positioning module is used for positioning an intrusion point by adopting a threshold value sigma of an error average value e and beta-e in a normal state in cooperation with a normal state error curve; and the reason causing the data exception is verified and judged through the preorder process and the subsequent process. Accordi</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION |
title | Industrial control network intrusion detection system and method |
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