Convolutional Neural Network with Multi-scale Pooling for the Efficient Steganalysis in Images of Arbitrary Sizes

Ntivuguruzwa Jean De La Croix*, Tohari Ahmad, Royyana Muslim Ijtihadie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Numerous research studies have consistently demonstrated that convolutional neural networks (CNNs) outperform traditional machine learning methods that employ a two-part structure for detecting the presence of data hidden under a steganography approach known as steganalysis. Existing CNN models for the steganalysis of digital images use several approaches such as data augmentation, absolute value function and others to enhance the classification accuracies. Nevertheless, many state-of-the-art approaches rely on stacking numerous convolutional layers to expand the local receptive fields. However, these approaches showed a common drawback to not effectively extracting features from stego images. In this article, we propose a CNN with multi-scale pooling for efficient steganalysis in images of arbitrary sizes. We take advantage of small convolutions and extensively explore convolution's salient features such as Xception and Inception, and apply the spatial pyramid pooling. Through experimentation, the results show the outperformance of the proposed method compared to two existing methods. The results also highlight the proposed CNN's effectiveness and versatility in steganalysis images with arbitrary size.

Original languageEnglish
Title of host publication2023 14th International Conference on Information and Communication Technology and System, ICTS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages141-146
Number of pages6
ISBN (Electronic)9798350312164
DOIs
Publication statusPublished - 2023
Event14th International Conference on Information and Communication Technology and System, ICTS 2023 - Surabaya, Indonesia
Duration: 4 Oct 20235 Oct 2023

Publication series

Name2023 14th International Conference on Information and Communication Technology and System, ICTS 2023

Conference

Conference14th International Conference on Information and Communication Technology and System, ICTS 2023
Country/TerritoryIndonesia
CitySurabaya
Period4/10/235/10/23

Keywords

  • Network infrastructure
  • convolutional neural network
  • information security
  • multi-scale pooling
  • steganalysis

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