TwitterGAN: robust spam detection in twitter using novel generative adversarial networks
M Diqi - International Journal of Information Technology, 2023 - Springer
As social media platforms like Twitter continue to evolve, the proliferation of spam content
has become a pressing issue, undermining the credibility of shared messages. Traditional …
has become a pressing issue, undermining the credibility of shared messages. Traditional …
Application of error level analysis in image spam classification using deep learning model
AB Singh, KM Singh - Plos one, 2023 - journals.plos.org
Image spam is a type of spam that contains text information inserted in an image file.
Traditional classification systems based on feature engineering require manual extraction of …
Traditional classification systems based on feature engineering require manual extraction of …
Attention Mechanism and Support Vector Machine for Image-Based E-Mail Spam Filtering
Spammers have created a new kind of electronic mail (e-mail) called image-based spam to
bypass text-based spam filters. Unfortunately, these images contain harmful links that can …
bypass text-based spam filters. Unfortunately, these images contain harmful links that can …
Spam Email Image Detection Using Convolution Neural Network and Convolutional Block Attention Module
Image spam is continually a popular area of research. Cyberspace is under attack from
many different directions. Spam that contains text embedded in an image is known as …
many different directions. Spam that contains text embedded in an image is known as …
LBP Feature Extraction and Statistical Pooling-Based Image Spam Detection Model
Email, which stands for electronic mail, is a form of digital communication between two or
more individuals. These technological instruments that facilitate communication can have a …
more individuals. These technological instruments that facilitate communication can have a …