Python
Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
Comparative Analysis of Customer Loan Approval Prediction using Machine Learning Algorithms
Crop Prediction Based on Characteristics of the Agricultural Environment Using Various Feature Selection Techniques and Classifiers
Evolving Malware and DDoS Attacks: Decadal Longitudinal Study
Obfuscated Privacy Malware Classification Using Machine Learning and Deep Learning Techniques
Python, Cybersecurity, Deep Learning, Machine Learning, Artificial Intelligence, Cyber Security, Deep Learning, Machine Learning
Aim
The aim of this research is to develop an intelligent system capable of detecting and classifying obfuscated privacy malware into various categories and families. This system leverages machine learning and deep learning models trained on the CIC-MalMem-2022 dataset to improve accuracy and address the challenges posed by data imbalance and complex malware behaviour.
Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques
