Secure Information Embedding in Images with Hybrid Firefly Algorithm
Sahil Nokhwal, Manoj Chandrasekharan, Ankit Chaudhary

TL;DR
This paper presents a novel steganographic method that uses a Hybrid Firefly Algorithm to embed confidential PDFs into images, enhancing capacity, reducing distortion, and increasing robustness against detection.
Contribution
It introduces a hybrid optimization-based steganography technique that improves embedding capacity and reduces distortion compared to existing methods.
Findings
Decreased image distortion in embeddings
Faster convergence in the embedding process
Enhanced robustness against steganalytic attacks
Abstract
Various methods have been proposed to secure access to sensitive information over time, such as the many cryptographic methods in use to facilitate secure communications on the internet. But other methods like steganography have been overlooked which may be more suitable in cases where the act of transmission of sensitive information itself should remain a secret. Multiple techniques that are commonly discussed for such scenarios suffer from low capacity and high distortion in the output signal. This research introduces a novel steganographic approach for concealing a confidential portable document format (PDF) document within a host image by employing the Hybrid Firefly algorithm (HFA) proposed to select the pixel arrangement. This algorithm combines two widely used optimization algorithms to improve their performance. The suggested methodology utilizes the HFA algorithm to conduct a…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
MethodsFirefly algorithm
