In the absence of complete information in banners,traditional methods for IoT device recog-nition face challenges in achieving fine-grained identification.To address this problem,an IoT device recognition method based on relation extraction is proposed.A mapping relationship is established be-tween the head entity,relation,and tail entity in the brand,type,and model information and relation extraction of IoT devices by this method.The IoT device recognition problem is transformed into a rela-tion extraction problem.As a resut,the problem of keyword missing in slogan is solved,and the rotat-ing position coding information is incorporated into the feature extraction,the long text processing abil-ity of IoT device slogan is enhanced,and the fine-grained recognition performance of IoT device is im-proved.The experimental results show that the precision of the proposed method is 92.5%and the F1 value is 88.8%,which are better than these of the baseline method.
internet of things securitydevice identificationprotocol bannersfine-grained mannerrelation extraction
维普
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