An Enhanced Text Steganography Technique (SHA-Logic): Based on Conditional Logic and SHA-3 (Secure Hash Algorithm 3)

Text steganography is a method used to hide confidential messages in a message's text without arousing suspicion. This technique has been used in the past, from ancient Greece's scytale tool to modern methods such as Lempel-Ziv-Welch compression and Reflection Symmetry. As digital data continues to be transmitted between devices, it is vulnerable to attack, making text steganography an essential tool for securing data. Over the years, various techniques have been used to achieve this, including substitution, modification, and embedding techniques. However, text steganography still presents challenges, such as easy detection and the trade-off between hiding capacity and quality of the covered medium. Cryptography has been suggested to improve security by encrypting the original message into a cypher text. However, it cannot withstand the advancements in technology that can break cryptographic methods. Therefore, combining cryptography and steganography is always advisable because steganography increases the security of the carrier message as encryption (Cryptography) provides confidentiality. This study explores the various techniques used in text steganography and the challenges present in them to develop a high hiding capacity, robust, and high-quality covered medium text steganography technique that combines both Steganography and Cryptography using a condition Logic and Secure Hashing algorithm.

Authors

Institutions

Publication Details

Journal
Journal of Independent Studies and Research - Computing
Published
2024-12-19
DOI
https://doi.org/10.31645/jisrc.24.22.2.8
Citations
1
Primary Topic
Advanced Steganography and Watermarking Techniques
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Enhanced Text Steganography Technique (SHA-Logic): Based on Conditional Logic and SHA-3 (Secure Hash Algorithm 3)

Kisakye Diana Michelle, Ocen Gilbert Gilibrays, Odongtoo Godfrey
1 citations
Journal of Independent Studies and Research - Computing
Advanced Steganography and Watermarking Techniques
0.25
article

An Enhanced Text Steganography Technique (SHA-Logic): Based on Conditional Logic and SHA-3 (Secure Hash Algorithm 3)

Kisakye Diana Michelle, Ocen Gilbert Gilibrays, Odongtoo Godfrey
article en
1 citations

Abstract

Text steganography is a method used to hide confidential messages in a message's text without arousing suspicion. This technique has been used in the past, from ancient Greece's scytale tool to modern methods such as Lempel-Ziv-Welch compression and Reflection Symmetry. As digital data continues to be transmitted between devices, it is vulnerable to attack, making text steganography an essential tool for securing data. Over the years, various techniques have been used to achieve this, including substitution, modification, and embedding techniques. However, text steganography still presents challenges, such as easy detection and the trade-off between hiding capacity and quality of the covered medium. Cryptography has been suggested to improve security by encrypting the original message into a cypher text. However, it cannot withstand the advancements in technology that can break cryptographic methods. Therefore, combining cryptography and steganography is always advisable because steganography increases the security of the carrier message as encryption (Cryptography) provides confidentiality. This study explores the various techniques used in text steganography and the challenges present in them to develop a high hiding capacity, robust, and high-quality covered medium text steganography technique that combines both Steganography and Cryptography using a condition Logic and Secure Hashing algorithm.

Journal of Independent Studies and Research - ComputingVol. 22(2)
Busitema University (UG)
Peace, Justice and strong institutions
Openalex Percentile: Top 43%
Advanced Steganography and Watermarking Techniques
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.