A comprehensive survey for intelligent spam email detection

A Karim, S Azam, B Shanmugam, K Kannoorpatti… - Ieee …, 2019 - ieeexplore.ieee.org
The tremendously growing problem of phishing e-mail, also known as spam including spear
phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …

[HTML][HTML] A recent overview of the state-of-the-art elements of text classification

MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018 - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

Bidirectional LSTM with attention mechanism and convolutional layer for text classification

G Liu, J Guo - Neurocomputing, 2019 - Elsevier
Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …

Robust spammer detection using collaborative neural network in Internet-of-Things applications

Z Guo, Y Shen, AK Bashir, M Imran… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Spamming is emerging as a key threat to the Internet of Things (IoT)-based social media
applications. It will pose serious security threats to the IoT cyberspace. To this end, artificial …

Sentiment analysis of persian movie reviews using deep learning

K Dashtipour, M Gogate, A Adeel, H Larijani, A Hussain - Entropy, 2021 - mdpi.com
Sentiment analysis aims to automatically classify the subject's sentiment (eg, positive,
negative, or neutral) towards a particular aspect such as a topic, product, movie, news, etc …

Fuz-spam: Label smoothing-based fuzzy detection of spammers in internet of things

Z Guo, K Yu, A Jolfaei, F Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, online spamming has already been a remarkable threat to contents security of
Internet of Things. Due to constant technical progress, online spamming activities have been …

Extra-tree classifier with metaheuristics approach for email classification

A Sharaff, H Gupta - … and Computational Sciences: Proceedings of IC4S …, 2019 - Springer
It is very normal for any user to receive hundreds of emails every day. Almost 93% of them
are spam messages which include mainly advertisements from the industries like software …

A hybrid CNN-LSTM model for SMS spam detection in arabic and english messages

A Ghourabi, MA Mahmood, QM Alzubi - Future Internet, 2020 - mdpi.com
Despite the rapid evolution of Internet protocol-based messaging services, SMS still remains
an indisputable communication service in our lives until today. For example, several …

Mobile phishing attacks and defence mechanisms: State of art and open research challenges

D Goel, AK Jain - Computers & Security, 2018 - Elsevier
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …

Enhancing spam message classification and detection using transformer-based embedding and ensemble learning

A Ghourabi, M Alohaly - Sensors, 2023 - mdpi.com
Over the last decade, the Short Message Service (SMS) has become a primary
communication channel. Nevertheless, its popularity has also given rise to the so-called …