Advancing Phishing Email Detection: A Comparative Study of Deep Learning Models

N Altwaijry, I Al-Turaiki, R Alotaibi, F Alakeel - Sensors, 2024 - mdpi.com
Phishing is one of the most dangerous attacks targeting individuals, organizations, and
nations. Although many traditional methods for email phishing detection exist, there is a …

TwinSec‐IDS: An Enhanced Intrusion Detection System in SDN‐Digital‐Twin‐Based Industrial Cyber‐Physical Systems

S Krishnaveni, S Sivamohan, B Jothi… - Concurrency and …, 2024 - Wiley Online Library
The increasing complexity and interconnectivity of industrial cyber‐physical systems
(ICPSs), while enhancing operational security and reliability, have also introduced …

Detection of phishing addresses and pages with a data set balancing approach by generative adversarial network (GAN) and convolutional neural network (CNN) …

S Jafari, N Aghaee‐Maybodi - Concurrency and Computation …, 2024 - Wiley Online Library
Phishing attacks have a remarkable ability to steal user information by using simple
techniques. Phishing attacks steal valuable information, such as user names and …

Enhanced Authorship Verification for Textual Similarity with Siamese Deep Learning

RI Aouchiche, F Boumahdi… - Journal of Mobile …, 2024 - journals.riverpublishers.com
The internet is filled with documents written under false names or without revealing the
author's identity. Identifying the authorship of these documents can help decrease the …

Hate Speech Prediction on Social Media

IR Ammar Aouchiche, F Boumahdi, A Madani… - SN Computer …, 2023 - Springer
In order to stop hate speech spreaders on social media, researchers started developing
machine learning systems that automatically detect hate speech. In this paper we present …

[PDF][PDF] BERT-Based Models for Phishing Detection

M Songailaitė, E Kankevičiūtė, B Zhyhun… - … 2023: Proceedings of …, 2023 - ceur-ws.org
In this paper we report the application of BERT-based models for phishing detection in
emails. We fine-tuned 3 BERT-based models (DistilBERT, TinyBERT and RoBERTa) for the …

[引用][C] Towards a Hybrid Approach Combining Deep Learning and Case-Based Reasoning for Phishing Email Detection

MA Remmide, F Boumahdi, N Boustia - International Journal on …, 2024 - World Scientific
Phishing attacks are increasing every year, both in terms of number and technique. Using
only human weaknesses, an attacker can easily obtain the victim's credentials or access …