DeepImageSpam: Deep Learning based Image Spam Detection

Amara Dinesh Kumar, Vinayakumar R, Soman KP

Abstract:

Hackers and spammers are employing innovative and novel techniques to deceive novice and even knowledgeable
internet users. Image spam is one of such technique where the spammer varies and changes some portion of the image
such that it is indistinguishable from the original image fooling the users. This paper proposes a deep learning based
approach for image spam detection using the convolutional neural networks which uses a dataset with 810 natural
images and 928 spam images for classification achieving an accuracy of 91.7% outperforming the existing image
processing and machine learning techniques.

TL;DR: proposes a deep learning based approach for image spam detection using the convolutional neural networks

Keywords: Image Spam, Deep Learning, Spam Detection, CNN