Comprehensive Botnet Detection by Mitigating Adversarial Attacks, Navigating the Subtleties of Perturbation Distances and Fortifying Predictions with Conformal Layers

Keyphrases

• Detection Method 100%
• Botnet Detection 100%
• Conformal Layer 100%
• Adversarial Attack 100%
• L2 Distance 66%
• Network Attacks 33%
• Detection Efficiency 33%
• Transferability 33%
• Vulnerability 33%
• Detection System 33%
• Particle Swarm Optimization 33%
• Computer Networks 33%
• Genetic Algorithm 33%
• Misclassification 33%
• Attacker 33%
• Detection Algorithm 33%
• Misclassified 33%
• Cybercrime 33%
• Botnet 33%
• Cybersecurity Risk 33%
• Semantic Relations 33%
• Deep Machine Learning 33%
• Generative Adversarial Networks 33%
• Deep Learning Algorithm 33%
• Machine Learning Learning 33%
• Adversarial Samples 33%
• Resilience Capability 33%
• Flow Detection 33%
• Baseline Detection 33%
• Conformal Prediction 33%
• Malicious Actors 33%
• Robust Detection 33%
• ISCX Dataset 33%
• Malware Sample 33%
• Syntactic Relation 33%
• Machine Learning-based Botnet Detection 33%
• Tree Algorithm 33%
• Adversarial Examples 33%
• Neural Network Surrogate Model 33%

Computer Science

• Botnet Detection 100%
• Detection Method 100%
• Adversarial Machine Learning 100%
• Machine Learning 100%
• Learning System 100%
• Syntactics 50%
• Neural Network 50%
• Computer Network 50%
• Attackers 50%
• Genetic Algorithm 50%
• Realism 50%
• Detection Algorithm 50%
• Particle Swarm Optimization 50%
• Botnets 50%
• Cybersecurity 50%
• Cybercrime 50%
• Generative Adversarial Networks 50%
• Malware Sample 50%
• Adversarial Example 50%
• Malicious Actor 50%
• Conformal Prediction 50%
• Deep Learning Method 50%