Multi-View Learning for Repackaged Malware Detection-Reference-Cited by-同舟云学术

Multi-View Learning for Repackaged Malware Detection

Published:2021-08-17 Issue: Volume: Page:
ISSN:
Container-title:The 16th International Conference on Availability, Reliability and Security
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Author:

Singh Shirish¹,Chaturvedy Kushagra²,Mishra Bharavi²

Affiliation:

1. Columbia University, US

2. LNM Institute of Information Technology, IN

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3465481.3470040

Reference44 articles.

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2. code2vec: learning distributed representations of code

3. DL-Droid: Deep learning based android malware detection using real devices

4. Android. [n.d.]. Analyze your build with APK Analyzer | Android Developers. https://developer.android.com/studio/build/apk-analyzer. (Accessed on 11/29/2020). Android. [n.d.]. Analyze your build with APK Analyzer | Android Developers. https://developer.android.com/studio/build/apk-analyzer. (Accessed on 11/29/2020).

5. Android. [n.d.]. Dalvik Executable format | Android Open Source Project. https://source.android.com/devices/tech/dalvik/dex-format. (Accessed on 11/29/2020). Android. [n.d.]. Dalvik Executable format | Android Open Source Project. https://source.android.com/devices/tech/dalvik/dex-format. (Accessed on 11/29/2020).

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1. DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode;IEEE Transactions on Software Engineering;2023-10-01

2. AndroMalPack: enhancing the ML-based malware classification by detection and removal of repacked apps for Android systems;Scientific Reports;2022-11-14

3. Android Malware Detection: Looking beyond Dalvik Bytecode;2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW);2021-11