Feature selection approach for phishing detection based on machine learning

Y Wei, Y Sekiya - International Conference on Applied CyberSecurity, 2021 - Springer
… algorithms and evaluating their performances, we choose Random Forest as our phishing
… Intelligence, there is an increasing number of phishing detection approaches to improve the …

Prompt engineering or fine-tuning? a case study on phishing detection with large language models

F Trad, A Chehab - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
… including language translation, sentiment analysis, and text … more advantage in terms of
performance compared to URL-… fine-tuning in enhancing the specialization and effectiveness …

Ensemble-based logistic model trees for website phishing detection

VE Adeyemo, AO Balogun, HA Mojeed… - Advances in Cyber …, 2021 - Springer
… It is worthy to note that the performances of LMT on studied phishing datasets are good …
methods (Bagging and Boosting) were able to further amplify the performance of LMT as in the …

A Deep learning-based innovative technique for phishing detection in modern security with uniform resource locators

EA Aldakheel, M Zakariah, GA Gashgari, FA Almarshad… - Sensors, 2023 - mdpi.com
… We evaluate the performance of our model on the PhishTank dataset, which is a widely …
modeling approaches to detect sophisticated phishing attacks, including boosting and bagging …

Text data augmentation: Towards better detection of spear-phishing emails

M Regina, M Meyer, S Goutal - arXiv preprint arXiv:2007.02033, 2020 - arxiv.org
detection with different components to extract and analyze … as our BEC detection use case
but also sentiment analysis with … augmentation techniques for boosting performance on text …

An enhanced feature‐based sentiment analysis approach

NMK Saeed, NA Helal, NL Badr… - … Reviews: Data Mining …, 2020 - Wiley Online Library
… approach for sentiment analysis is proposed which aims to enhance the performance of …
Forest, and Gradient-Boosted Trees in order to detect spam reviews and validate this study. …

Helphed: Hybrid ensemble learning phishing email detection

P Bountakas, C Xenakis - Journal of network and computer applications, 2023 - Elsevier
… Learning improves the detection performance in the phishing email detection domain. Both
boosting and data sampling, with various ML algorithms and detected 71% of the phishing

The emergence threat of phishing attack and the detection techniques using machine learning models

SP Ripa, F Islam, M Arifuzzaman - … International Conference on …, 2021 - ieeexplore.ieee.org
… and analyzing now-a-days like sentiment analysis of Bangla text, Banking data analyzing, …
boosting the phishing detection performance. They showed that their semantic based analysis

An intelligent cyber security phishing detection system using deep learning techniques

A Mughaid, S AlZu'bi, A Hnaif, S Taamneh, A Alnajjar… - Cluster …, 2022 - Springer
… the best ML algorithm accuracy were 0.88, 1.00, and 0.97 consecutively for boosted
confidence and actual performance when it comes to identifying phishing messages which can then …

Business boosting through sentiment analysis using Artificial Intelligence approach

AAA Ahmed, S Agarwal, IMGA Kurniawan… - International Journal of …, 2022 - Springer
… for performing the sentiment analysis through which business performance can be boosted.
… As a result, the Danish bank has created a sophisticated fraud detection system with the …