Using Least-Significant Bit and Random Pixel Encoding with Encryption for Image Steganography

Tapan Soni, Richard Baird, Andrea Lobo, Vahid Heydari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Steganography is the process of hiding data inside audio, video, and image sources using various encoding methods. This paper presents a novel steganography algorithm that hides files in images using a combination of strong symmetric AES encryption, random pixel selection, and encoding in least-significant bits. The algorithm is implemented in Python 3 and made publicly available as part of a steganography tool, BPStegano. An evaluation using five steganalysis techniques shows that the new algorithm is effective and secure.

Original languageEnglish (US)
Title of host publicationNational Cyber Summit Research Track, NCS 2020
EditorsKim-Kwang Raymond Choo, Tommy Morris, Eric Imsand, Gilbert L. Peterson
PublisherSpringer Science and Business Media Deutschland GmbH
Pages139-153
Number of pages15
ISBN (Print)9783030587024
DOIs
StatePublished - 2021
EventNational Cyber Summit, NCS 2020 - Huntsville, United States
Duration: Jun 2 2020Jun 4 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1271 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceNational Cyber Summit, NCS 2020
Country/TerritoryUnited States
CityHuntsville
Period6/2/206/4/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • General Computer Science

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