Source Identification of 3D Printed Objects Based on Inherent Equipment Distortion | |
Fei Peng; Jing Yang; Zi-Xing Lin; Min Long | |
刊名 | Computers & Security |
2019 | |
关键词 | Source identification 3D printed objects 3D printer Equipment distortion model Inherent equipment distortion |
ISSN号 | 0167-4048 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4606171 |
专题 | 湖南大学 |
作者单位 | b College of Computer and Communication Engineering, Changsha University of Science and Technology, 410114 Changsha, China a School of Computer Science and Electronic Engineering, Hunan University, 410082 Changsha, China |
推荐引用方式 GB/T 7714 | Fei Peng,Jing Yang,Zi-Xing Lin,et al. Source Identification of 3D Printed Objects Based on Inherent Equipment Distortion[J]. Computers & Security,2019. |
APA | Fei Peng,Jing Yang,Zi-Xing Lin,&Min Long.(2019).Source Identification of 3D Printed Objects Based on Inherent Equipment Distortion.Computers & Security. |
MLA | Fei Peng,et al."Source Identification of 3D Printed Objects Based on Inherent Equipment Distortion".Computers & Security (2019). |
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