SM‐Detector: A security model based on BERT to detect SMiShing messages in mobile environments
A Ghourabi - Concurrency and Computation: Practice and …, 2021 - Wiley Online Library
The growing use of SMS by businesses to communicate with their customers has made
attackers more interested in smishing attacks. Smishing is a security attack that involves …
attackers more interested in smishing attacks. Smishing is a security attack that involves …
Spam filtering of mobile SMS using CNN–LSTM based deep learning model
In our civilizations, SMS continues to be an arguable communication tool despite the rattling
development of protocol–predicated messaging approaches. Some businesses consider …
development of protocol–predicated messaging approaches. Some businesses consider …
Stratified hyperparameters optimization of feed-forward neural network for social network spam detection (SON2S)
E Elakkiya, S Selvakumar - Soft Computing, 2022 - Springer
Over the last decade, popularity and fascination for social networks have exponentially
increased. This rapid growth has triggered cybercriminals to utilize social networks for their …
increased. This rapid growth has triggered cybercriminals to utilize social networks for their …
Filtering turkish spam using LSTM from deep learning techniques
E-mails are used effectively by people or communities who want to do propaganda,
advertisement, and phishing because of their ease of use and low cost. People or …
advertisement, and phishing because of their ease of use and low cost. People or …
A comparative analysis of recurrent neural network and support vector machine for binary classification of spam short message service
D Odera, G Odiaga - World Journal of Advanced Engineering …, 2023 - mail.wjaets.com
Over the years, communication through Short Message Service (SMS) has been a primary
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
tool for mobile subscribers. SMS has varied applications in health, industry, finances …
Multi-type feature extraction and early fusion framework for SMS spam detection
HA Al-Kabbi, MR Feizi-Derakhshi… - IEEE Access, 2023 - ieeexplore.ieee.org
SMS spam is a pervasive issue that affects millions worldwide, leading to significant
inconvenience, time wastage, and potential financial scams. Given the prevalence and …
inconvenience, time wastage, and potential financial scams. Given the prevalence and …
A comparative study of word embedding techniques for sms spam detection
P Joseph, SY Yerima - 2022 14th International Conference on …, 2022 - ieeexplore.ieee.org
E-mail and SMS are the most popular communication tools used by businesses,
organizations and educational institutions. Every day, people receive hundreds of messages …
organizations and educational institutions. Every day, people receive hundreds of messages …
Establishing an optimal online phishing detection method: Evaluating topological NLP transformers on text message data
H Milner, M Baron - Journal of Data Science and …, 2024 - researchoutput.csu.edu.au
This research establishes an optimal classification model for online SMSspamdetection by
utilizing topological sentence transformer methodologies. The study is a responsetothe …
utilizing topological sentence transformer methodologies. The study is a responsetothe …
Category-learning attention mechanism for short text filtering
T Xia, X Chen - Neurocomputing, 2022 - Elsevier
In machine translation, the attention mechanism highlights relevant words according to the
distances between the source and target vectors dynamically. However, its ability to optimize …
distances between the source and target vectors dynamically. However, its ability to optimize …
Email threat detection using distinct neural network approaches
E Castillo, S Dhaduvai, P Liu, KS Thakur… - Proceedings for the …, 2020 - aclanthology.org
This paper describes different approaches to detect malicious content in email interactions
through a combination of machine learning and natural language processing tools …
through a combination of machine learning and natural language processing tools …