Is It Safe? Identifying Malicious Apps Through the Use of Metadata and Inter-Process Communication
Author:
Affiliation:
1. Federal University of Paraná State,Computer Science Department,Curitiba,Brazil
2. Federal University of Technology - Paraná,Computer Science Department,Dois Vizinhos,Brazil
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9773363/9773791/09773881.pdf?arnumber=9773881
Reference36 articles.
1. DroidCat: Effective Android Malware Detection and Categorization via App-Level Profiling
2. Significant Permission Identification for Machine-Learning-Based Android Malware Detection
3. PermPair: Android Malware Detection Using Permission Pairs
4. Inappbrowser plugin,2021
5. SAMADroid: A Novel 3-Level Hybrid Malware Detection Model for Android Operating System
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1. Cryptographic Enhancement of Named Pipes for Secure Process Communication;The European Journal of Research and Development;2024-05-31
2. Hybrid Android Malware Detection: A Review of Heuristic-Based Approach;IEEE Access;2024
3. Inspecting Binder Transactions to Detect Anomalies in Android;2023 IEEE International Systems Conference (SysCon);2023-04-17
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