# Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/zero-bias-deep-learning-for-accurate-identification-of-internet-of-things-iot/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yongxin Liu,Houbing Song,Thomas Yang,Jian Wang,Jianqiang Li,Shuteng Niu,Ming, Zhong |
| Citations | 92 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://commons.erau.edu/publication/1559 |
| OpenAlex ID | https://openalex.org/W3103998378 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Jian Wang](https://scholariq.org/researchers/jian-wang/)

## Paper primary topic

- [Wireless Signal Modulation Classification](https://scholariq.org/topics/wireless-signal-modulation-classification/)

## Paper topics

- [Wireless Signal Modulation Classification](https://scholariq.org/topics/wireless-signal-modulation-classification/)
- [Physical Unclonable Functions (PUFs) and Hardware Security](https://scholariq.org/topics/physical-unclonable-functions-pufs-and-hardware-security/)
- [Digital Media Forensic Detection](https://scholariq.org/topics/digital-media-forensic-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.