Stegosuite: Smart steganography suite with AI-based Detection

  • Unique Paper ID: 191934
  • Volume: 12
  • Issue: 8
  • PageNo: 8617-8620
  • Abstract:
  • Steganography is a widely used approach for hiding confidential information inside digital media, allowing secure communication without revealing the presence of hidden data. However, many existing steganographic tools are restricted to a single media format and do not provide adequate security layers or easy-to-use interfaces. In addition, the increasing availability of AI-generated and manipulated media has raised concerns regarding content authenticity. This paper introduces StegoSuite, a smart multimedia steganography system capable of embedding secret data into images, audio, and video files. Prior to embedding, the secret message is encrypted using the Advanced Encryption Standard (AES) to enhance confidentiality. The system also includes an AI-based image analysis module that identifies manipulated or synthetic images using a convolutional neural network. Developed using open-source technologies and a graphical user interface, StegoSuite focuses on both security and usability. Experimental results show high visual quality with PSNR values above 40 dB, minimal distortion, and more than 90% accuracy in detecting fake images. These findings demonstrate that StegoSuite provides an effective and practical solution for secure multimedia communication

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{191934,
        author = {Samiksha Machhindra kedare and Prof.Tagade R.O and Bhagyashri Dattatray Shinde and Pallavi Bhausaheb Narote and Saniya Firoj Shaikh},
        title = {Stegosuite: Smart steganography suite with AI-based Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8617-8620},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191934},
        abstract = {Steganography is a widely used approach for hiding confidential information inside digital media, allowing secure communication without revealing the presence of hidden data. However, many existing steganographic tools are restricted to a single media format and do not provide adequate security layers or easy-to-use interfaces. In addition, the increasing availability of AI-generated and manipulated media has raised concerns regarding content authenticity. This paper introduces StegoSuite, a smart multimedia steganography system capable of embedding secret data into images, audio, and video files. Prior to embedding, the secret message is encrypted using the Advanced Encryption Standard (AES) to enhance confidentiality. The system also includes an AI-based image analysis module that identifies manipulated or synthetic images using a convolutional neural network. Developed using open-source technologies and a graphical user interface, StegoSuite focuses on both security and usability. Experimental results show high visual quality with PSNR values above 40 dB, minimal distortion, and more than 90% accuracy in detecting fake images. These findings demonstrate that StegoSuite provides an effective and practical solution for secure multimedia communication},
        keywords = {Steganography, Multimedia Security, Cryptography, Deepfake Detection, Audio Steganography, Video Steganography},
        month = {January},
        }

Cite This Article

kedare, S. M., & R.O, P., & Shinde, B. D., & Narote, P. B., & Shaikh, S. F. (2026). Stegosuite: Smart steganography suite with AI-based Detection. International Journal of Innovative Research in Technology (IJIRT), 12(8), 8617–8620.

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