计算机工程与应用2024，Vol.60Issue(17)：117-128,12.DOI:10.3778/j.issn.1002-8331.2306-0161
IDFE:面向物联网设备识别的指纹深度提取方法
IDFE:Fingerprint Deep Extraction Method for IoT Device Identification
摘要
Abstract
Traditional IoT device fingerprint extraction methods usually use the private data in traffic to generate device fingerprints and adopt the method of manually designing features.It also limits the performance of the model while creating security risks.Aiming at the above problems,the IoT device deep fingerprint extraction(IDFE)method based on network traffic is proposed.IDFE first divides the network traffic pcap file into multiple sessions,and extracts the non-private information to build the session information matrix.Then it designs the modeling method and fusion method of the depen-dency between the different information sequences of the session information matrix and the temporal dependency between the session data packets.Finally,the designed full convolution transformer is used to extract the device behavior features in the fused session feature matrix and generate the device fingerprint.关键词
物联网设备/安全隐患/行为特征/信息融合/设备指纹Key words
IoT devices/security risks/behavior features/information fusion/device fingerprint分类
信息技术与安全科学引用本文复制引用
唐跃中,卢士达,钱李烽,位雪银,顾荣斌,黄君,李静..IDFE:面向物联网设备识别的指纹深度提取方法[J].计算机工程与应用,2024,60(17):117-128,12.基金项目
国家电网有限公司总部科技项目(5108-202218280A-2-152-XG). （5108-202218280A-2-152-XG）
