Genetic Algorithm in Audio Steganography
Manisha Rana, Rohit Tanwar

TL;DR
This paper explores the application of genetic algorithms in audio steganography to enhance data hiding techniques, aiming to improve security and identify future research directions.
Contribution
It introduces the use of genetic algorithms in audio steganography, highlighting potential improvements and future research opportunities.
Findings
GA can optimize steganography methods
Potential for increased data security
Future research directions identified
Abstract
With the advancement of communication technology,data is exchanged digitally over the network. At the other side the technology is also proven as a tool for unauthorized access to attackers. Thus the security of data to be transmitted digitally should get prime focus. Data hiding is the common approach to secure data. In steganography technique, the existence of data is concealed. GA is an emerging component of AI to provide suboptimal solutions. In this paper the use of GA in Steganography is explored to find future scope of research.
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