American Journal of Circuits, Systems and Signal Processing Vol. 1, No. 1, 2015, pp. 1-13 http://www.publicscienceframework.org/journal/ajcssp * Corresponding author E-mail address: s.khamis@f-eng.tanta.edu.eg (S. A. Khamis), sserag@gmail.com (S. M. Serag Eldin), abdel_aziz_hassanin@hotmail.com (Abdel-Aziz I. M. H.), mnm_1946@hotmail.com (M. A. Alsharqawy) Package of Audio Watermark for ERTU’s Cloud Salah A. Khamis 1 , Salwa M. Serag Eldin 1 , Abdel-Aziz Ibrahim Mahmoud Hassanin 2 , Mohammed A. Alsharqawy 3, * 1 Electronics and Electrical Communication Engineering Dept., Tanta University, Tanta, Egypt 2 Electronics and Electrical Communication Engineering Dept., Faculty of Electronic Engineering, Menufia University, Menouf, Egypt 3 Egyptian Radio and Television Union (ERTU), Cairo, Egypt Abstract This paper discusses protection of the copyright of audio signal which is belonging to Egyptian Radio and Television Union (ERTU). It is used to protect it through the cloud and allow the Authorized Groups (AuthGs) to get benefit from. It is done using watermarking techniques based on Discrete Cosine Transform (DCT). Many tests are performed to compare between the original and watermarked audio to insure the robustness of the process and then the high performance of the cloud which is done. Moreover, these tests are applied to insure the source of the audio and detect if any changes are made. This also overcomes the difficulties of distance for all AuthGs. Keywords ERTU, AuthGs, Cloud Computing, Audio Watermarking Received: March 2, 2015 / Accepted: March 23, 2015 / Published online: March 27, 2015 @ 2015 The Authors. Published by American Institute of Science. This Open Access article is under the CC BY-NC license. http://creativecommons.org/licenses/by-nc/4.0/ 1. Introduction Watermarking is an effective tool to save the copy right for different media types. Audio contents for any multimedia organization like ERTU represent valuable Legacy like songs and presidential speeches [1]. a frequency-domain audio watermarking scheme based on dirty convolutional codes is presented with proper define to masking threshold which represents a major deviation from classical distortion models thus making the direct application of the dirty coding paradigm[2]. A novel scheme to adaptively determine the embedding strength for audio watermarking using Quantization Index Modulation (QIM) in Discrete Wavelet Packet Transform (DWPT) domain is discussed. The effectiveness of this scheme has been proven using the perceptual evaluation of audio quality and bit error rates of the recovered watermark under common digital signal processing attacks [3]. The technique is proposed based on optimization, multi-resolution representation in wavelet domain, and DCT for Blind 3D Model Watermarking [4]. A Singular Value Decomposition (SVD) based audio watermarking scheme using variable embedding strength, exponential and logarithm operations for copyright protection is presented [5]. Proper selection of cepstrum coefficient the watermarking is of strong anti-attack ability and ant jamming ability. Using auditory masking properties make the watermarking be of consistent good invisibility. The algorithm combined psychoacoustic model with cepstrum transform can be adaptive to embed watermarking in the complicated audio files. This is discussed in [6]. The rest of this paper is organized as follow. Section II presents the formulation of the problem. Numerical results are given in section III. Finally section IV is the conclusion of the paper.