2 天前 - … detection and protection. The XAI that we have presented aims to investigate how
machine learning-… and figure out what makes machine learning-based malware classifiers …

2 天前 - … phishing website-based attacks necessitate the development of robust solutions
for detecting phishing … of machine learning (ML) algorithms for detecting phishing websites. …

2 天前 - … As a preventive measure, intrusion detection systems equipped with machine
learning classification algorithms have been developed to detect anomalies in network traffic. …

2 天前 - … for improved detection mechanisms. This study therefore assessed four machine
learning … (LR), Naive (NB) and Support Vector Machine (SVM)), built an ensemble model with …

6 天前 - … , phishing, and malware, is proposed. The model achieves high precision and F1
scores for normal and phishing … the performance of a machine learning model and provide …

6 天前 - … in many ways, such as through phishing emails, compromised websites, and tainted
… Malware detection is critical in security and cannot be understated. As the volume and …

6 天前 - … Machine learning-based phishing detection from URLs designed a real-time ML
model to detect phishing URLs. … Survey of machine learning techniques for malware analysis, …

7 天前 - … Specifically, we investigate various AI techniques such as machine learning, deep
learning, and natural language processing, examining their application in threat detection, …

7 天前 - … detailed evaluation of machine learning algorithms, heuristic… while machine learning
algorithms offer high detection … effective against evolving phishing techniques. Heuristic-…

7 天前 - … learning-based models, notably Machine Learning (ML), Ensemble Learning (EL),
and Deep Learning … employing multimodal techniques for phishing website detection (PWD), …