Enhancing Historical Data Preservation: A Robust Steganographic Framework with Steghide Integration

Steganography, Steganography, an art of covert communication, conceals data within various media forms, such as images and audio, eluding detection by unsuspecting observers. Tracing back to the example above, steganography utilizes steghide, which as an open-source tool excels at hiding historical data held within images or audio recordings. In this model work of original research, the functionality of Steghide is extended with Alternate Encryption Standard (AES) and Least Significant Bit (LSB) methods to provide a better preservation for historical data while enforcing privacy and security using additional protection layers. By seamlessly blending with the encryption functionality using AES and embedded to LSB, we are able to both make our historical data stronger, and also further strengthens integrity of records against unauthorized access or tampering. This adds a layer of visibility and resiliency in information storage which meets the exacting requirements for historical data retention. The simple menu of steghide creates an easy to use way to either hide your data with in another file, whether it be small or large files upholding ethical obligations. However, during Steghide’s accomplishment of abiding incessantly to ethical and law-abiding principles, it remains the premier class-leader discreet integrated tool for a reliable historical data repository packed with genuine user confidence as well reinforcing secure archival practices.

Authors

Institutions

Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/iceca63461.2024.10801049
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Historical Data Preservation: A Robust Steganographic Framework with Steghide Integration

Radhika Rani Chintala, S.B.L.S Mehar, Sudhanya Sanka, S.S. Likhitha Obbilisetty et al.
Internet Traffic Analysis and Secure E-voting
article

Enhancing Historical Data Preservation: A Robust Steganographic Framework with Steghide Integration

Radhika Rani Chintala, S.B.L.S Mehar, Sudhanya Sanka, S.S. Likhitha Obbilisetty, Lohitha Rongala
article en

Abstract

Steganography, Steganography, an art of covert communication, conceals data within various media forms, such as images and audio, eluding detection by unsuspecting observers. Tracing back to the example above, steganography utilizes steghide, which as an open-source tool excels at hiding historical data held within images or audio recordings. In this model work of original research, the functionality of Steghide is extended with Alternate Encryption Standard (AES) and Least Significant Bit (LSB) methods to provide a better preservation for historical data while enforcing privacy and security using additional protection layers. By seamlessly blending with the encryption functionality using AES and embedded to LSB, we are able to both make our historical data stronger, and also further strengthens integrity of records against unauthorized access or tampering. This adds a layer of visibility and resiliency in information storage which meets the exacting requirements for historical data retention. The simple menu of steghide creates an easy to use way to either hide your data with in another file, whether it be small or large files upholding ethical obligations. However, during Steghide’s accomplishment of abiding incessantly to ethical and law-abiding principles, it remains the premier class-leader discreet integrated tool for a reliable historical data repository packed with genuine user confidence as well reinforcing secure archival practices.

Koneru Lakshmaiah Education Foundation (IN)
Sustainable cities and communities
Openalex Percentile: Top 78%
Internet Traffic Analysis and Secure E-voting
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.

Enhancing Historical Data Preservation: A Robust Steganographic Framework with Steghide Integration — Radhika Rani Chintala, S.B.L.S Mehar, et al. · (2024) | TGRS Research Map | TGRS