Combining text and visual features to improve the identification of cloned webpages for early phishing detection

B Van Dooremaal, P Burda, L Allodi… - Proceedings of the 16th …, 2021 - dl.acm.org
… image similarity metrics for phishing detection. To reduce the performance costs due to reverse
… To understand the impact of the increasing sophistication of phishing attacks on existing …

Deep learning for phishing detection: Taxonomy, current challenges and future directions

NQ Do, A Selamat, O Krejcar, E Herrera-Viedma… - Ieee …, 2022 - ieeexplore.ieee.org
… ABSTRACT Phishing has become an increasing concern … and improvement, existing phishing
detection techniques still … to enhance classification performance for phishing detection [21]…

Exquisite analysis of popular machine learning–based phishing detection techniques for cyber systems

M Das, S Saraswathi, R Panda, AK Mishra… - Journal of Applied …, 2021 - Taylor & Francis
… using the learned threshold generated by the Gradient Boosting (GB) mechanism. … Performance
analysis In this section, we use three metrics for evaluating performance of the detection

Efficient spam and phishing emails filtering based on deep learning

S Magdy, Y Abouelseoud, M Mikhail - Computer Networks, 2022 - Elsevier
semantic analysis of an email and does not consider neither sender/subject information nor
phishing … show the effect of early stopping on enhancing the performance, with regard to the …

Automatic detection of phishing pages with event-based request processing, deep-hybrid feature extraction and light gradient boosted machine model

Ö Kasim - Telecommunication Systems, 2021 - Springer
… to increase the detection of phishing websites. The classification performance of the LightGBM
… previous studies, the superior performance of Principal Component Analysis (PCA) and …

A performance analysis of Software Defined Network based prevention on phishing attack in cyberspace using a deep machine learning with CANTINA approach …

R Ravi - Computer Communications, 2020 - Elsevier
… [11] presented a text sentiment analysis comparison depending on machine learning. In
this the frequency term and frequency of inter document are to be examined due to the words …

Detection of phishing websites by using machine learning-based URL analysis

M Korkmaz, OK Sahingoz, B Diri - 2020 11th International …, 2020 - ieeexplore.ieee.org
… XGBoost is an algorithm based on gradient boosted decision trees that put speed and
performance in the foreground. It aims to reduce errors in the previous tree by producing a new …

A phishing detection system based on machine learning

CY Wu, CC Kuo, CS Yang - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
… for detection, is a phishing detection system with considerable detection performance and
… , there is an increasing number of phishing detection approach machine learning method to …

A comparison of natural language processing and machine learning methods for phishing email detection

P Bountakas, K Koutroumpouchos… - Proceedings of the 16th …, 2021 - dl.acm.org
… (it combines data sampling and boosting) with three … Analysis along with Latent Semantic
Analysis techniques were deployed. The second method accomplished the best performance

Application of word embedding and machine learning in detecting phishing websites

RS Rao, A Umarekar, AR Pais - Telecommunication Systems, 2022 - Springer
… service usage is increasing year after … semantic and contextual information of the words
present in the corpus and is useful in machine learning algorithm to work with better performance