Thwarting audio steganography attacks in cloud storage systems

Abstract

Nowadays, enterprises and individuals are increasing tending to store their data in the cloud storage systems, yet, these sensitive data will face serious security threats. Currently, cloud storage service providers mainly adopt encryption and authentication to protect sensitive data, and a lot of approaches have been proposed to ensure data security in cloud storage systems. Recently, audio steganography has been regarded as serious attacking measures to threaten cloud storage systems. Nevertheless, little research has been focused on thwarting the Audio steganography Attacks in Cloud Storage Systems. In this paper, we analyze the Audiosteganography Attacks in Cloud Storage Systems, and then, we propose and develop StegAD, a novel scheme for defending Audiosteganography Attacks. StegAD includes two algorithms, i.e., the enhanced-RS algorithm and the SADI algorithm. The enhanced-RS algorithm is adopted to detect the audio steganographied files, and after that, SADI is applied to infer and compensate the possible hiding positions. To evaluate the performance of StegAD, we perform extensive evaluations on a real platform in terms of detecting, audio quality and interfering intensity. Experimental results show that, our proposed StegAD scheme is very efficient in thwarting the Audio steganography Attacks in Cloud Storage Systems.