Mid@ndro: a Middleware Architecture for Malware Detection on Android-Reference-Cited by-同舟云学术

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Mid@ndro: a Middleware Architecture for Malware Detection on Android

Published:2023-11-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
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Author:

Sawadogo Zakaria¹^ORCID,Thioye Babacar²,Gaye Ibrahima³,Dembele Jean-Marie⁴^ORCID,Mendy Gervais³^ORCID,Ouya Samuel³^ORCID

Affiliation:

1. Gaston Berger University,LANI,Dakar,Senegal

2. Cheikh Anta Diop University,LITA,Saint Louis,Senegal

3. Cheikh Anta Diop University,LITA,Dakar,Senegal

4. Gaston Berger University,LITA,Dakar,Senegal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10365713/10366053/10366106.pdf?arnumber=10366106

Reference15 articles.

1. Android application forensics: A survey of obfuscation, obfuscation detection and deobfuscation techniques and their impact on investigations

2. DeepMalOb: Deep Detection of Obfuscated Android Malware

3. Android Malware Classification: Updating Features Through Incremental Learning Approach(UFILA)

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