Design Thinker & Code Tinkerer | NIT Meghalaya Grad

-Android malware detection system using ML algorithms, including K-Nearest Neighbors (KNN) and Decision Trees
-Analyzed a dataset of application permissions (330 features) to accurately classify apps as benign or malicious
-Achieved accuracy of 0.89 with KNN classifier (k=3), showcasing strong predictive performance
-Utilized Decision Tree classifier to achieve an accuracy of 0.9375 reinforcing robust malware detection capabilities

-Android malware detection system using ML algorithms, including K-Nearest Neighbors (KNN) and Decision Trees
-Analyzed a dataset of application permissions

A Permission-Based Malware Detection System for Securing And

-Android malware detection system using ML algorithms, including K-Nearest Neighbors (KNN) and Decision Trees -Analyzed a dataset of application permissions