Work

Fine-grained IoT device identification method based on self-supervised ViT

Year: 2023

Type: conference-paper

Source: IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA)

DOI: 10.1109/ispa-bdcloud-socialcom-sustaincom59178.2023.00052

Authors: Kai Peng, Tong Lu, Song Mei, Nannan Xue, Yongchao Shen, Menglan Hu

Institution: Huazhong University of Science and Technology

Language: English

Topic: Internet Traffic Analysis and Secure E-voting

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4394712260

FWCI: 0.116

Cites: 24

Cited by: 1

Related to: 10