Advancing Phishing Email Detection: A Comparative Study of Deep Learning Models
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 …
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
The increasing complexity and interconnectivity of industrial cyber‐physical systems
(ICPSs), while enhancing operational security and reliability, have also introduced …
(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 …
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 …
author's identity. Identifying the authorship of these documents can help decrease the …
Hate Speech Prediction on Social Media
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 …
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 …
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
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 …
only human weaknesses, an attacker can easily obtain the victim's credentials or access …