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‎README.md‎

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# Detecting Suspicious Activity in the NFT Ecosystem using Temporal Graph Analysis
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This is the code for **[Detecting Suspicious Activity in the NFT Ecosystem using Temporal Graph Analysis](https://github.com/slitiWassim/Detecting-Suspicious-Activity-in-the-NFT-Ecosystem)** .
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### [Project](https://slitiwassim.github.io/Drone-Guard/) | [Video](https://www.youtube.com/watch?v=c4U8tkQkX7g) | [Paper]()
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### [Project](https://slitiwassim.github.io/Detecting-Suspicious-Activity-in-the-NFT-Ecosystem/) | [Dataset]() | [Paper]()
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## Related Works
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> **ANDT**: See [ANDT : Anomaly detection in aerial videos with transformers ](https://github.com/Jin-Pu/Drone-Anomaly).
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> **HSTforU**: See [HSTforU: Anomaly Detection in Aerial and Ground-based Videos with Hierarchical Spatio-Temporal Transformer for U-net](https://github.com/vt-le/HSTforU/tree/main).
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## Framework Overview
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> **FastAno**: See [FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation](https://github.com/codnjsqkr/FastAno_official).
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<a href="static/videos/Bike_video.gif" target="_blank">
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<image style="border: 2px solid rgb(201, 196, 196);" src="static/videos/Bike_video.gif" width="100%">
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</a>
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## Model
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<a href="static/images/Model-Architecture.png" target="_blank">
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<image style="border: 2px solid rgb(201, 196, 196);" src="static/images/Model-Architecture.png" width="100%">
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<a href="static/images/framework_TKG.png" target="_blank">
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<image style="border: 2px solid rgb(201, 196, 196);" src="static/images/framework_TKG.png" width="100%">
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</a>
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git clone https://github.com/slitiWassim/Detecting-Suspicious-Activity-in-the-NFT-Ecosystem.git
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cd Detecting-Suspicious-Activity-in-the-NFT-Ecosystem/
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We evaluate `Drone-Guard` on:
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| Dataset | Link |
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|--|---------------------------------------------------------------------------------------|
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| UCSD Ped2 | [![Google drive](https://badgen.net/static/Homepage/Ped2/blue)](http://www.svcl.ucsd.edu/projects/anomaly/dataset.html) |
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| CUHK Avenue | [![Google drive](https://badgen.net/badge/Homepage/Avenue/cyan)](http://www.cse.cuhk.edu.hk/leojia/projects/detectabnormal/dataset.html) |
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| ShanghaiTech | [![Google drive](https://badgen.net/badge/Homepage/ShanghaiTech/green?)](https://svip-lab.github.io/dataset/campus_dataset.html) |
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| Drone-Anomaly | [![Google drive](https://badgen.net/badge/Homepage/Drone-Anomaly/yellow)](https://github.com/Jin-Pu/Drone-Anomaly) |
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## Data Collection and Preparation
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<a href="static/images/data_collection_preparation.png" target="_blank">
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<image style="border: 2px solid rgb(201, 196, 196);" src="static/images/data_collection_preparation.png" width="100%">
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</a>
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A dataset is a directory with the following structure:
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```bash
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$ tree data
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ped2/avenue
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├── training
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│ └── frames
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│ └── mapping
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│ ├── ${video_1}$
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│ │ ├── 000.jpg
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│ │ ├── 001.jpg
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│ │ └── ...
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│ └── ...
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└── testing
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└── frames
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├── ${video_1}$
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│ ├── 000.jpg
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│ ├── 001.jpg
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│ └── ...
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├── ${video_2}$
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│ ├── 000.jpg
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│ └── ...
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└── ...
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shanghaitech
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├── training
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│ └── frames
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│ ├── ${video_1}$
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│ │ ├── 000.jpg
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│ │ ├── 001.jpg
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│ │ └── ...
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│ ├── ${video_2}$
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│ │ ├── 00.jpg
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│ │ └── ...
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│ └── ...
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└── testing
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└── frames
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├── ${video_1}$
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│ ├── 000.jpg
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│ ├── 001.jpg
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│ └── ...
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├── ${video_2}$
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│ ├── 000.jpg
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│ └── ...
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└── ...
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drone
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├──bike
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│ ├──training
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│ │ └── frames
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│ │ ├── ${video_1}$
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│ │ │ ├── 0.jpg
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│ │ │ ├── 1.jpg
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│ │ │ └── ...
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│ │ ├── ${video_2}$
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│ │ │ ├── 00.jpg
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│ │ │ └── ...
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│ │ └── ...
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│ ├── testing
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│ │ └── frames
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│ │ ├── ${video_1}$
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│ │ │ ├── 000.jpg
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│ │ │ ├── 001.jpg
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│ │ │ └── ...
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│ │ ├── ${video_2}$
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│ │ │ ├── 000.jpg
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│ │ │ └── ...
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│ │ └── ...
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│ └── annotation
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│ ├── 01.npy
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│ ├── 02.npy
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│ └── ...
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├── highway
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│ ├── ...
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└── ...
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```
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### Data description
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| Descriptions | Statistics |
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|--|---------------------------------------------------------------------------------------|
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|Start date(dd-mm-yyyy,UTC) | 23-06-2017 21:05 |
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|End date (dd-mm-yyyy, UTC)| 22-12-2023 19:06 |
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|Number of NFT collections | 1,746,379 |
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|Number of NFT tokens |41,292,572 |
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|Number of account addresses| 7,062,831 |
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|Number of transactions |77,735,708 |
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|Chains | 10 |
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## Temporal Cycles Detection
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<a href="static/images/temporal_cycles.png" target="_blank">
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<image style="border: 2px solid rgb(201, 196, 196);" src="static/images/temporal_cycles.png" width="100%">
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</a>
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## Training
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To train `Drone-Guard` on a dataset, run:
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```bash

‎index.html‎

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<span>Paper</span>
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</a>
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</span>
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<!-- Video Link. -->
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<a href="https://www.youtube.com/watch?v=c4U8tkQkX7g"
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<i class="fab fa-youtube"></i>
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<span>Video</span>
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</a>
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</span>
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<!-- Code Link. -->
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<span class="link-block">
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<a href="https://github.com/slitiWassim/Drone-Guard"
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<a href="https://github.com/slitiWassim/Detecting-Suspicious-Activity-in-the-NFT-Ecosystem"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="fab fa-github"></i>

‎static/images/data_collection_preparation.png‎

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‎static/images/framework_TKG.png‎

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‎static/images/main.jpg‎

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‎static/images/temporal_cycles.png‎

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‎static/images/wash_trading_cycles_upset.png‎

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‎static/images/wash_trading_upset.png‎

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