A hybrid CNN-LSTM model for SMS spam detection in arabic and english messages
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 …
an indisputable communication service in our lives until today. For example, several …
Dsmishsms-a system to detect smishing sms
With the origin of smart homes, smart cities, and smart everything, smart phones came up as
an area of magnificent growth and development. These devices became a part of daily …
an area of magnificent growth and development. These devices became a part of daily …
Deep convolutional forest: a dynamic deep ensemble approach for spam detection in text
The increase in people's use of mobile messaging services has led to the spread of social
engineering attacks like phishing, considering that spam text is one of the main factors in the …
engineering attacks like phishing, considering that spam text is one of the main factors in the …
Implementation of 'smishing detector': an efficient model for smishing detection using neural network
Neural network creates a neuron-based network similar to the human nervous system to
solve classification problems efficiently. The smishing problem is a binary classification …
solve classification problems efficiently. The smishing problem is a binary classification …
Sms phishing dataset for machine learning and pattern recognition
The reliability of the dataset is an essential factor for solving classification problems. Data is
required for training, testing, classification, and evaluation of the machine learning models …
required for training, testing, classification, and evaluation of the machine learning models …
A review on artificial intelligence techniques for multilingual sms spam detection
With social networks' increased popularity and smartphone technology advancements,
Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The …
Facebook, Twitter, and short text messaging services (SMS) have gained popularity. The …
Multi-lingual Spam SMS detection using a hybrid deep learning technique
E Ramanujam, K Shankar… - 2022 IEEE Silchar …, 2022 - ieeexplore.ieee.org
Nowadays, the incremental usage of mobile phones has made spam SMS messages a big
concern. Sending malicious links through spam messages harms our mobile devices …
concern. Sending malicious links through spam messages harms our mobile devices …
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 …
Investigating the experience of social engineering victims: Exploratory and user testing study
The advent of mobile technologies and social network applications has led to an increase in
malicious scams and social engineering (SE) attacks which are causing loss of money and …
malicious scams and social engineering (SE) attacks which are causing loss of money and …
COPS: A Compact On-Device Pipeline for Real-Time Smishing Detection
BSS Harichandana, S Kumar… - 2024 IEEE 21st …, 2024 - ieeexplore.ieee.org
Smartphones have become indispensable in our daily lives and can do almost everything,
from communication to online shopping. However, with the increased usage, cybercrime …
from communication to online shopping. However, with the increased usage, cybercrime …