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Published October 13, 2025 | Version v1
Dataset Restricted

Inferring Smartphone Application Types Via Inaudible Charging Sound: A New Acoustic Side-Channel Attack

  • 1. ROR icon Zhejiang University of Technology

Description

 Inferring Smartphone Application Types Via Inaudible Charging Sound: A New Acoustic Side-Channel Attack

IEEE Franklin V. Taylor Memorial Award - Nominees   in IEEE SMC 2025, Vienna.

Dataset

The dataset contains 36 audio recordings captured during smartphone charging sessions across different application scenarios.

Recording Specifications

 

- **Sampling Rate**: 192 kHz (high-fidelity acoustic capture)
- **Recording**: Continuous full-session audio (no pre-sliced segments; slicing done during preprocessing)
- **Format**: WAV (uncompressed)
- **Microphone**: Double X0 pickup microphone
- **Battery Level**: All recordings at 100% capacity
- **Environment**: Controlled ambient conditions for reproducible acoustic feature extraction

Device Specifications

Smartphones:

- **Redmi Note 12T**: Mid-range Android device
- **Huawei Nova 6**: Legacy device for cross-generational analysis

Chargers:

- **Xiaomi 67W Charger**: Fast charging (QC/PD protocols)
- **Ugreen Dual-Port 20W**: Baseline charging (17W single-port mode)

Application Categories

| Category                | Applications                                       | Protocol                              |
| ----------------------- | -------------------------------------------------- | ------------------------------------- |
| **Games**         | Minecraft, Sky: Children of the Light, PUBG Mobile | 3D scene navigation and gameplay      |
| **Social**        | QQ, DingTalk                                       | Text messaging and transmission       |
| **Entertainment** | Douyin (TikTok), Kuaishou (Kwai)                   | Video playback with content switching |
| **Shopping**      | JD, Pinduoduo                                      | Product browsing and selection        |

File Structure

```

dataset/
├── 01.wav ~ 36.wav    # Audio recordings
└── labels.json        # Metadata with app names and device info
```

Each entry in `labels.json` contains:

```json
{
  "app_name": "Application name",
  "device": {
    "phone": "Smartphone model",
    "charger": "Charger specification"
  }
}
```

 

Files

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