Phishing detection system through hybrid machine learning based on URL
… classify the phishing URLs and evaluate their performance in … 3) GRADIENT BOOSTING
MACHINE Gradient boosting … to perform gradient boosting for data classification. Gradient …
MACHINE Gradient boosting … to perform gradient boosting for data classification. Gradient …
From feature engineering and topics models to enhanced prediction rates in phishing detection
… To do this, it employs Probabilistic Latent Semantic Analysis (PLSA) to build a topic model, …
techniques brought essential boosts in the performance of phishing detection approaches. …
techniques brought essential boosts in the performance of phishing detection approaches. …
Improving the phishing website detection using empirical analysis of Function Tree and its variants
… The increasing acceptance and adoption of information technology (IT) have led to an …
of the ML-based phishing detection solution depends on the performance of the chosen ML …
of the ML-based phishing detection solution depends on the performance of the chosen ML …
The answer is in the text: Multi-stage methods for phishing detection based on feature engineering
… method associates Principal Component Analysis (PCA) and Latent Semantic Analysis (LSA)…
, proved to support the semantic and similarity enrichment and boost the performance of the …
, proved to support the semantic and similarity enrichment and boost the performance of the …
An in-depth benchmarking and evaluation of phishing detection research for security needs
… , varying legitimate to phishing ratios and increasing the size of … performance. Our results
show that the imbalanced nature of phishing attacks affects the detection systems’ performance …
show that the imbalanced nature of phishing attacks affects the detection systems’ performance …
Performance assessment of multiple machine learning classifiers for detecting the phishing URLs
… ), Gradient Boosting Tree provides highest performance with … ] which was able to detect
phishing webpages without using … Zouina and Outtaj [11] have presented a phishing detection …
phishing webpages without using … Zouina and Outtaj [11] have presented a phishing detection …
An effective detection approach for phishing websites using URL and HTML features
… Phishing offenses are increasing, resulting in … the performance of the phishing detection
approach, and various classification algorithms are employed. Furthermore, the performance of …
approach, and various classification algorithms are employed. Furthermore, the performance of …
An improved ELM-based and data preprocessing integrated approach for phishing detection considering comprehensive features
… Boost the detection performance by using the improved ELM-based classifier. … The events
of phishing attacks show an increasing trend despite the fact that many anti-phishing solutions …
of phishing attacks show an increasing trend despite the fact that many anti-phishing solutions …
[PDF][PDF] Building robust phishing detection system: an empirical analysis
… noises in enhancing robustness of the phishing URL classifiers … , SVM ensemble) for
enhancing the robustness and accuracy … to analyze the performance of SVM classifier for phishing …
enhancing the robustness and accuracy … to analyze the performance of SVM classifier for phishing …
An effective phishing detection model based on character level convolutional neural network from URL
A Aljofey, Q Jiang, Q Qu, M Huang, JP Niyigena - Electronics, 2020 - mdpi.com
… performance in the detection of phishing sites. Yang et al. [9] propose a multidimensional
feature phishing detection … XGBoost algorithm is a type of boosting models and short form for …
feature phishing detection … XGBoost algorithm is a type of boosting models and short form for …