Research Article A Framework of Secured Embedding Scheme Using Vector Discrete Wavelet Transformation and Lagrange Interpolation Maheswari Subramanian 1,2 and Reeba Korah 3 1 Department of Electronics and Communication Engineering, Sathyabama University, Chennai, India 2 St. Joseph’s College of Engineering, Chennai, India 3 Alliance University, Bangalore, India Correspondence should be addressed to Maheswari Subramanian; maheswari.mani@gmail.com Received 19 May 2017; Revised 13 September 2017; Accepted 26 October 2017; Published 1 March 2018 Academic Editor: Rui Zhang Copyright © 2018 Maheswari Subramanian and Reeba Korah. is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Information hiding techniques have a significant role in recent application areas. Steganography is the embedding of in- formation within an innocent cover work in a way which cannot be detected by any person without accessing the steg- anographic key. e proposed work uses a steganographic scheme for useful information with the help of human skin tone regions as cover image. e proposed algorithm has undergone Lagrange interpolation encryption for enhancement of the security of the hidden information. First, the skin tone regions are identified by using YC b C r color space which can be used as a cover image. Image pixels which belong to the skin regions are used to carry more secret bits, and the secret information is hidden in both horizontal and vertical sequences of the skin areas of the cover image. e secret information will hide behind the human skin regions rather than other objects in the same image because the skin pixels have high intensity value. e performance of embedding is done and is quite invisible by the vector discrete wavelet transformation (VDWT) technique. A new Lagrange interpolation-based encryption method is introduced to achieve high security of the hidden information with higher payload and better visual quality. 1. Introduction e two major fast emerging trends of information hiding are steganography and watermarking. Steganography is the art and science of invisible communication. e main goal of steganography is to hide secret data into the other innocent digital media. It is a novel way of secret communication used in recent times. A majority of the existing steganography techniques use digital multimedia files as cover media to hide secret data. Using steganography, information can be hidden in different embedding media, known as carriers. ese carriers can be images, audio files, video files, and text files. e concealment is accomplished by hiding information in other information, thus hiding the existence of the communicated information. e word steganography is derived from the Greek words “stegos” meaning “cover” and “grafia” meaning “writing” [1–3], and by definition, it may be called as “covered writing.” Cover image refers to the image used for carrying the embedded bits. Embedded data are known as payload, and the image with embedded data is called stego image [4]. Digital watermarking [5] is the process of embedding or hiding digital information called watermark into a multime- dia product, and the embedded data can later be extracted or detected from the watermarked product, for protecting digital content copyright and ensuring tamper resistance, which is indiscernible and hard to remove by unauthorized persons. e visible and invisible types are major watermarking tech- niques, but steganography is always done in invisible manner. Hence, the demand for security is increasing day by day, leading to the use of steganography for information security [6]. Figure 1 shows the basic schematic of the steganography process. Here, the sender sends the secret message which Hindawi Journal of Computer Networks and Communications Volume 2018, Article ID 8695103, 9 pages https://doi.org/10.1155/2018/8695103