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Python cybersecurity 2010 ID: 1CP0647

Classification and Analysis of Android Malware Images Using Feature Fusion Technique

Keywords: Android Malware, Malware Classification, Feature Fusion, Image Processing, Cyber Security, Malware Analysis

Project Synopsis & Overview

This project focuses on classifying and analyzing Android malware by representing malware samples as images and applying a feature fusion technique. Relevant visual and extracted features are combined to improve discrimination between malware and benign applications. The approach supports automated malware identification, helps analyze suspicious Android applications, and contributes to mobile-device security by enabling effective detection of potentially harmful software.

Complete Technical Specifications

Project ID 1CP0647 (DB ID: 647)
Project Title Classification and Analysis of Android Malware Images Using Feature Fusion Technique
Domain Division Python
Sub-Domain / Tech cybersecurity
IEEE Year 2010
Package Price ₹6500
Created Date Oct 23, 2026
Project Price
₹6500 ₹8000 20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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