Application and Implementation of Secure Hybrid Steganography Algorithm in Private Cloud Platform

Steganography has been considered to be a standard way of sending secret data to the receiver without others being able to identify its immediate presence. Cloud computing has been competitive in fields like cost reduction, flexibility and optimal resource utilization. In the proposed algorithm, there is an effort taken to embed Steganography and Cloud Computing, so that, the security level of both can hold together and create a greater safety standard. The pixels are inverted and sent to Five Modulus Method (FMM) [7] or Genetic Algorithm based Steganography using Discrete Cosine Transformation (GASDCT) [11] algorithm based on its size and complexity; the steganography image is then transmitted to the receiver using the SaaS infrastructure. Using the Software as a Service (SaaS) Document Management, the image is stored, and shared to the receiver, which reduces the extra steps of upload and download, sending via email or any other meaning of communication. SaaS is Cost-efficient, secure, and scalable. Hence an efficient usage of its security and resources to create a system that can handle them in Cloud without any necessity to download an application to the network. Keywords: Genetic Algorithm; SaaS; Steganography; Cloud Security