Chao_SIFT based encryption approach to secure audio files in cloud computing

With the increasing usage of cloud computing in many fields, concerns about the secrecy of data storage in the cloud have been growing. Many types of data are stored in cloud computing, such as text, images, audio, video, and so on. Therefore, a robust and secure mechanism must be in place to protect the stored data in cloud storage. This paper suggests a novel Chao-SIFT-based symmetric encryption algorithm to secure audio files in cloud computing to reduce all these worries. The paper focuses on encrypting the audio file using two different keys. The first one is generated by the Scale Invariant Feature Transform (SIFT) for a shared image between the two parties, while the second is generated using the 4D hyperchaotic Sprott-S system, which creates a huge number of digits that can be used as an encryption key. The proposed method achieves high-level security for audio files stored in the cloud by making it difficult for unauthorized users to access the encrypted data. Practical experiments are applied on the proposed algorithm, the results give weak SNR values, and high MOS values between the original and encrypted audio with an average of encryption time of 0.637227 s.