MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS

June 2023
Vol-9, Issue-4
Paper ID: 20725
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Android application machine learning malware detection feature extraction real-time detection performance optimization.
Abstract
The rapid development of Android applications raised worries about the security and privacy risks caused by malware. We propose a machine learning-based malware detector for Android applications that combines sentiment analysis and a permission-based systems to address this problem. Our method makes precise assumptions about the presence of malware based on content-related behaviours within an application, such as user reviews or descriptions, as well as the requested permissions. The system design includes labelled Android application samples being used to collect data, feature extraction being used to extract relevant information from the applications, and data preparation being used to get the extracted features ready for model training.Accuracy, precision, recall, and F1 score are some of the confusion measures that are used to evaluate the model.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Mr. Saurabh Gayke Pravara Rural Enginering College Loni
2 Ms. Puja Dukre Pravara Rural Enginering College Loni
3 Ms. Samruddhi Rokade Pravara Rural Enginering College Loni
4 Mr. Saurabh Gavhane Pravara Rural Enginering College Loni
5 Prof. Dr. M. R. Bendre Pravara Rural Enginering College Loni

How to Cite

Use the following formats to cite this article in your research.

APA Style
Gayke, Mr. Saurabh, Dukre, Ms. Puja, Rokade, Ms. Samruddhi, Gavhane, Mr. Saurabh, & Bendre, Prof. Dr. M. R. (2023). MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS. International Journal of Advance Research and Innovative Ideas In Education, 9(4), 2667-2674.
MLA Style
Gayke, Mr. Saurabh, et al. "MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, 2023, pp. 2667-2674.
IEEE Style
Mr. Saurabh Gayke, Ms. Puja Dukre, Ms. Samruddhi Rokade, Mr. Saurabh Gavhane, and Prof. Dr. M. R. Bendre, "MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 4, pp. 2667-2674, 2023.
Vancouver Style
Gayke Mr. Saurabh, Dukre Ms. Puja, Rokade Ms. Samruddhi, Gavhane Mr. Saurabh, Bendre Prof. Dr. M. R.. MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(4):2667-2674.
Harvard Style
Gayke, Mr. Saurabh, Dukre, Ms. Puja, Rokade, Ms. Samruddhi, Gavhane, Mr. Saurabh, & Bendre, Prof. Dr. M. R. (2023) 'MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS', International Journal of Advance Research and Innovative Ideas In Education, 9(4), pp. 2667-2674.
Chicago Style
Gayke, Mr. Saurabh, et al. "MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 2667-2674.
Turabian Style
Gayke, Mr. Saurabh, et al. "MACHINE LEARNING BASED MALWARE DETECTOR FOR ANDROID APPLICATIONS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 4 (2023): 2667-2674.

Export Citation

Related Research

Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
Amruta Bargal et al. 2026 Data science
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
Amruta Bargal et al. 2026 Data science
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
Vaibhav Ashok Bhangare et al. 2026 Computer Engineering
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
Vishakha Jadhav et al. 2026 Human Resource Management, Artificial Intelligence, Machine Learning, Payroll Systems, Cybersecurity, Business Intelligence, Robotic Process Automation, Employee Analytics, Digital Transforma
PDF Unavailable
Civic Engagement & Empowerment Platform
Supriya Dadaso Bankar et al. 2026 Computer engineering
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
Diksha Patil 2026 Technology
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
Prof. Priyanka P. Kakade et al. 2026 Computer Engineering
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
Rohan Mulik et al. 2026 Computer Engineering
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
Kirti Datir et al. 2026 Computer Engineering
PDF Unavailable
Employee Performance Portal
P.Harika et al. 2026 Computer science and engineering
PDF Unavailable