A Machine Learning-Based Classification and Prediction Technique for DDoS Attacks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  We proposed a complete systematic approach to detect DDOS attack using machine learning algorithm.

Android Malware Detection Using Informative Syscall Subsequences

5,500.00
Aim: To develop a robust and efficient system for detecting Android malware by leveraging informative syscall subsequences, advanced machine learning, and deep learning models trained on the CICMalDroid2020 dataset.

BMNet-5: A Novel Approach of Neural Network to Classify the Genre of Bengali Music Based on Audio Features

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The proposed BMNet-5 is based on a neural network designed to predict music genre from audio inputs Abstract:

Data-Driven Early Diagnosis of Chronic Kidney Disease: Development and Evaluation of an Explainable AI Model

5,500.00
Aim: Ā Ā Ā Ā Ā  The primary aim of this research is to design, build, and rigorously evaluate an interpretable AI model for

Detecting Spam Email with Machine Learning Optimized with Harris Hawks’s optimizer (HHO) Algorithm

5,500.00
Aim: Ā Ā Ā Ā Ā Ā  This study aims to improve the accuracy of spam email detection by leveraging a hybrid approach employing the

Evolving Malware and DDoS Attacks: Decadal Longitudinal Study

5,500.00
Aim: To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.

Predicting Heart Diseases Using Machine Learning and Different Data Classification Techniques

5,500.00
Aim: This study develops a machine learning model to classify heart disease into different severity levels. It analyzes patient data to improve diagnostic accuracy and support medical decisions.

Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)

5,500.00

To enhance DDoS attack detection by implementing a machine learning system with hyperparameter optimization and advanced prediction techniques, utilizing the CICIDS dataset to achieve high classification accuracy and improve network security.