A Lightweight Model for DDoS Attack Detection Using Machine Learning Techniques

Computer Science

• Machine Learning Technique 100%
• Internet-Of-Things 100%
• Intrusion Detection System 66%
• Class Classification 33%
• Random Decision Forest 33%
• Nave Bayes 33%
• k-Nearest Neighbors Algorithm 16%
• Malware 16%
• User Experience 16%
• Anomaly Detection 16%
• Feature Selection 16%
• Network Traffic 16%
• Data Preprocessing 16%
• Cybersecurity 16%
• Prediction Time 16%
• Data Standardization 16%
• Business Continuity 16%
• Traffic Pattern 16%
• Preprocessing 16%
• Logistic Regression 16%
• Processing Power 16%
• Critical Infrastructure 16%
• Machine Learning 16%
• Learning System 16%
• Feature Extraction 16%
• Artificial Neural Network 16%
• Binary Classification 16%

Keyphrases

• Lightweight Intrusion Detection System 50%
• Classification Class 16%
• IoT Attacks 16%