DeepImageSpam: Deep Learning based Image Spam DetectionDownload PDF

Amara Dinesh Kumar, Vinayakumar R, Soman KP

Oct 02, 2018MIC 2018 Conference SubmissionReaders: Everyone
  • Keywords: Image Spam, Deep Learning, Spam Detection, CNN
  • TL;DR: proposes a deep learning based approach for image spam detection using the convolutional neural networks
  • 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.
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