Crypto Wallet Artifact Detection on Android Devices Using Advanced Machine Learning Techniques-Reference-Cited by-同舟云学术

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Crypto Wallet Artifact Detection on Android Devices Using Advanced Machine Learning Techniques

Published:2023 Issue: Volume: Page:111-132
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
language:
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Author:

Bhattarai Abhishek,Veksler Maryna,Sahin Hadi,Kurt Ahmet,Akkaya Kemal

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36574-4_7

Reference36 articles.

1. Cellebrite. https://cellebrite.com/en/home/

2. Ciphertrace. https://ciphertrace.com/

3. Abadi, M., et al.: TensorFlow: a system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2016), pp. 265–283 (2016)

4. Aydos, F.: Webscreenshots (2020). https://www.kaggle.com/datasets/aydosphd/webscreenshots

5. Barcha, P.: Old books dataset (2017). https://github.com/PedroBarcha/old-books-dataset

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