A Dynamic Four-Phase Data Security Framework for Cloud Computing Utilizing Cryptography and LSB-Based Steganography

Abstract

Maintaining strong data security has become essential as cloud computing continues to advance 
quickly in order to reduce threats like theft, data loss, and manipulation. Using cryptography and 
least significant bit (LSB) steganography, this research suggests a dynamic, four-phase data 
security system for cloud computing. LSB steganography encrypts data before embedding it into 
images, increasing security by hiding information within the least significant bits of image pixels. 
This method adds an additional degree of protection by encrypting the AES key and concealing it 
behind a cover object, combining RSA and AES encryption. In addition to protecting against 
potential attacks in cloud environments, the framework seeks to provide data redundancy, secrecy, 
and integrity. The selection of the cover item, the embedding rate, the vulnerability to 
steganography, and the computational complexity are factors that impact the effectiveness of LSB 
steganography. By emphasizing LSB steganography's effectiveness in cloud security on its own, 
as opposed to just combining it with cryptographic techniques, the study fills a major vacuum in 
the literature. Upcoming projects will focus on refining steganalysis methodologies, streamlining 
LSB embedding processes, and investigating integration with machine learning approaches. This 
framework provides a dependable and adaptable method for protecting sensitive data in cloud 
environments by tackling major security issues in cloud computing.