Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting-Reference-Cited by-同舟云学术

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Efficient Query-Based Attack against ML-Based Android Malware Detection under Zero Knowledge Setting

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security
language:
Short-container-title:

Author:

He Ping¹^ORCID,Xia Yifan¹^ORCID,Zhang Xuhong¹^ORCID,Ji Shouling¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

Funder

Fundamental Research Funds for the Central Universities

NSFC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576915.3623117

Reference66 articles.

1. Kevin Allix Tegawendé F. Bissyandé Jacques Klein and Yves Le Traon. 2016. AndroZoo: collecting millions of Android apps for the research community. In MSR.

2. Android. 2023 a. Android Documentation. [Accessed on Apr. 13, 2023].

3. Android. 2023 b. Android Manifest Documentation. https://developer.android.com/guide/topics/manifest/manifest-intro. [Accessed on Apr. 21, 2023].

4. Android. 2023 c. Android Permission. https://developer.android.com/reference/android/Manifest.permission. [Accessed on Apr. 21, 2023].

5. Android. 2023 d. App Components. https://developer.android.com/guide/components/fundamentals. [Accessed on Apr. 21, 2023].

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1. FAMCF: A few-shot Android malware family classification framework;Computers & Security;2024-11

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