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International Conference on Computer Vision and Image Processing

CVIP 2022: Computer Vision and Image Processing pp 518–531Cite as

Features Assimilation via Three-Stream Deep Networks for Spam Attack Detection from Images

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1777))

Abstract

Spam filters typically use optical character recognition (OCR) for extracting the text from images. These days spammers have circumvented optical scanning by fracturing the text within the images thereby improving their attacks and finally reaching to the users. This paper proposes a three-stream deep learning-based model which uses Convolutional Neural Networks (CNN), Transfer Learning, SIFT and HOG features via hybrid fusion framework. Transfer learning alone can only achieve an accuracy of 95% but our hybrid model shows improved performance and obtains an accuracy of 96%, eclipsing the existing techniques. We have created our dataset of challenging HAM images which will be publicly available. On our challenging dataset as well, the proposed method outperforms other existing methods for effectively detecting the spam attacks targeted via images.

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Author information

Authors and Affiliations

  1. Indian Institute of Technology, Kanpur, India

    Shubham Kumar, Anirudh Chaudhary, Devansh Goyal, Amanjit Singh, Ashish Yadav, Samarth Roday & Tushar Sandhan

Authors
  1. Shubham Kumar
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  2. Anirudh Chaudhary
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  3. Devansh Goyal
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  4. Amanjit Singh
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  5. Ashish Yadav
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  6. Samarth Roday
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  7. Tushar Sandhan
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Corresponding author

Correspondence to Tushar Sandhan .

Editor information

Editors and Affiliations

  1. Visvesvaraya National Institute of Technology Nagpur, Nagpur, India

    Deep Gupta

  2. Visvesvaraya National Institute of Technology Nagpur, Nagpur, India

    Kishor Bhurchandi

  3. Indian Institute of Technology Ropar, Rupnagar, India

    Subrahmanyam Murala

  4. Indian Institute of Technology Roorkee, Roorkee, India

    Balasubramanian Raman

  5. Indian Institute of Technology Roorkee, Roorkee, India

    Sanjeev Kumar

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Cite this paper

Kumar, S. et al. (2023). Features Assimilation via Three-Stream Deep Networks for Spam Attack Detection from Images. In: Gupta, D., Bhurchandi, K., Murala, S., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2022. Communications in Computer and Information Science, vol 1777. Springer, Cham. https://doi.org/10.1007/978-3-031-31417-9_39

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  • DOI: https://doi.org/10.1007/978-3-031-31417-9_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-31416-2

  • Online ISBN: 978-3-031-31417-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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