A Reliable Transmission and Extraction of Textual Information Using Keyless Encryption, Steganography, and Deep Algorithm with Cuckoo Optimization

Binay Kumar Pandey*, Digvijay Pandey, Mohammed Ayad Alkhafaji, Muhammet Tahir Güneşer, Cihat Şeker

*Corresponding author for this work

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

36 Citations (Scopus)

Abstract

The entire work postulates a fusion of an innovative keyless image encoding approach based on a chaotic map and steganography. Nearly every single picture element has been encrypted by rearranging pixel values that are then assessed by such an adapted cat map as well as steganography has been used in the suggested methodology to transmit keyless encoded textual information utilizing a cover image, with encoded textual image information inserted into cover images. But on the other hand, retrieving textual images embedded in the receiver has indeed been regarded as the most challenging process. Furthermore, a sender will indeed transfer reasoning rather than a key to the recipient, ignoring the fact that acquiring engrained textual information hidden inside the cover image to enhance efficiency would have been challenging. Steganography was easily accomplished by placing data bits of secret textual image information into the cover image’s least significant bit of picture elements. The image quality, on the other hand, suffers greatly from the inclusion of an encrypted message. Images could indeed cause some disturbances from time to time. As a consequence, non-smooth areas of the image have been regarded as smooth. Therefore, the weighted Naive Bayes algorithm (NBA) method is being used in the illustration to retrieve the appropriate textual image information from complicated deteriorated images. Normally, images comprise a small amount of noise, so the introduction of the guided filter (GF) during the initial preprocessing phase is required. A very important feature in the textual image information extraction procedure was obtained utilizing a variety of techniques, including Gabor transform (GT), weighted Naive Bayes algorithms (WNBA), and a high-quality learning procedure for standard procedure. Eventually, textual content identification and recognition are performed using a combination of DNN and cuckoo algorithms. Again, for the proposed system, the set of data IIIT5K is being used, as well as high performance has been gained with parameters such as mean square error and peak signal-to-noise ratio.

Original languageEnglish
Title of host publicationMicro-Electronics and Telecommunication Engineering - Proceedings of 6th ICMETE 2022
EditorsDevendra Kumar Sharma, Rohit Sharma, Sheng-Lung Peng, Gwanggil Jeon
PublisherSpringer Science and Business Media Deutschland GmbH
Pages629-636
Number of pages8
ISBN (Print)9789811995118
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event6th International Conference on Microelectronics and Telecommunication Engineering, ICMETE 2022 - Ghaziabad, India
Duration: 1 Jun 20232 Jun 2023

Publication series

NameLecture Notes in Networks and Systems
Volume617 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference6th International Conference on Microelectronics and Telecommunication Engineering, ICMETE 2022
Country/TerritoryIndia
CityGhaziabad
Period1/06/232/06/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Data transmission
  • Hybrid convolution neural network
  • Keyless encryption
  • Security
  • Steganography

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