Cited by 16Advanced Steganography and Watermarking TechniquesComputer Science and EngineeringChaos-based Image/Signal Encryption

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index; none of the 3 sources its claims cite is checked for support yet.

Modified Least Significant Bit (MLSB)

Open access
Abu Zaher, Mazen·2010·Computer and Information Science

Abstract

Now a day steganography plays a critical role in Information Security.Our work introduces modifications to existing steganography algorithm known as LSB "Least Significant Bit".The main idea of our work is to increase amount of data that can be hiding using LSB.In addition our algorithm encrypt data before hide it, which provide another level of protection over traditional LSB technique.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

The paper modifies traditional LSB image steganography by converting 8-bit ASCII text into 5-bit codes with control symbols before hiding the bits in RGB pixel LSBs. It reports reduced bit requirements and a built-in form of encryption, demonstrated on an 18-character message hidden in a 160×160 image.

Key findings

  • The algorithm represents characters and numbers with 5 bits instead of 8-bit ASCII, using control symbols: `1Bh` small letter, `1Ch` capital letter, `1Dh` space, `1Eh` number, and `1Fh` end of text.
  • For the 18-character plaintext “STEGO with 05 bits,” ASCII requires `18 × 8 = 144` bits, while the proposed algorithm requires `22 × 5 = 110` bits, a difference of 34 bits.
  • The same message needs at least `110/3` pixels, rounded to 37 pixels, and the experiment used a 160×160 pixel image; extraction returned the original message.
  • The authors claim the conversion process provides built-in encryption because extracted bits are not understandable until converted back.

Methods

  • Design: A 24-bit color image is used as the cover; message characters are converted from 8-bit ASCII to 5-bit codes, then hidden in the least significant bits of the Red, Green, and Blue components using LSB.
  • Data/sample: One scenario with an 18-character text, “STEGO with 05 bits,” hidden in a 160×160 pixel image.
  • Analysis: The paper compares bit requirements between ASCII and the proposed representation and verifies extraction by recovering the original message; no other quantitative analysis is reported.

Limitations

  • Stated: If the text flips between small and capital letters for each character, the size will increase rather than decrease because of control symbols; the authors say such a scenario is rare.
  • Evident: Evaluation is limited to a single 18-character message and one 160×160 image, with no security, detectability, robustness, or broader capacity analysis.
  • Evident: No key or cryptographic algorithm is described for the claimed “encryption,” and no comparison is made against other enhanced LSB methods beyond the bit-count example.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.5539/cis.v4n1p60

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

9 Own result · 8 Own interpretation · 3 Sources not found · 1 No basis given

Show all 9 claims

  • Probably not a substantial claim. 7
  • It may state two separate claims as one. 8
  • The quote only partly states this claim. 2
12 of 12
  • The paper relies on this without support.

    Text that alternates between small and capital letters in each character is rare.

    “But we can say; such scenario is rare.”
1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

3 of 3

Citations

Cites

Research works printed but not linked: 3

  1. Bandyopadhyay, S. K., Bhattacharyya, D. , Ganguly, D. , Mukherjeel, S. & Das, P. (2008). A tutorial review on steganography. International Conference on Contemporary Computing.
  2. Cox, I. J., Miller, M. L., Bloom, J. A., Fridrich, J., Kalker, T. (2008). Digital watermarking and steganography(2nd. ed.). New York: Morgan Kaufmann.
  3. Johnson, N. F., & Jajodia, S. (1998). Steganography: seeing the unseen. IEEE Computer, (pp. 26-34).

Cited by

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Metadata

Authors
Abu Zaher, M.
Venue
Computer and Information Science
Published
2010-12-20
Volume
4
Issue
1
ISSN
  • 1913-8989 (ISSN-L)
  • 1913-8997
OpenAlex
W45834962
Cited by
16
References
3
Citations by year
2021: 2 · 2020: 1 · 2019: 3 · 2018: 1 · 2016: 1 · 2015: 4 · 2014: 1 · 2013: 3
FWCI
1.10
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Computer and Information Science (publishedVersion, cc-by)
  • Greater South Information System
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
Keywords
steganography, least significant bit, information hiding, data encryption, information security

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Statistics and arithmetic are recomputed, not judged.

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