Advancing Android Security: Leveraging Stacking Ensemble and Bioinspired Feature Selection for Efficient Malware Detection-Reference-Cited by-同舟云学术

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Advancing Android Security: Leveraging Stacking Ensemble and Bioinspired Feature Selection for Efficient Malware Detection

Published:2024-05-24 Issue: Volume:14 Page:1-11
ISSN:
Container-title:2024 5th International Conference for Emerging Technology (INCET)
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Author:

Jyothsna V.¹^ORCID,Mokshitha Peddesugari²,Khulud Shaik²,Premanath Reddy Lakshmireddy Gari²,Reddy Nare Jagannath²,Pydala Bhasha³

Affiliation:

1. Mohan Babu University(Erstwhile Sree Vidyanikethan Engineering College(Autonomous),Department of Data Science,Tirupati,India

2. Sree Vidyanikethan Engineering College,Dept. of Information Technology,Tirupati,India

3. Mohan Babu University,Department of Data Science,Tirupati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592862/10592849/10593208.pdf?arnumber=10593208

Reference37 articles.

1. GA-StackingMD: Android Malware Detection Method Based on Genetic Algorithm Optimized Stacking

2. Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions

3. An Ensemble Approach Based on Fuzzy Logic Using Machine Learning Classifiers for Android Malware Detection

4. DREBIN: effective and explainable detection of android ma1ware in your pocket;Arp;NDSS,2014

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