Audio Cryptography Research Articles

Audio encryption and decryption using AES algorithm technique

Audio cryptography is the practice of encrypting audio data to prevent illegal access to and listening to it. This paper presents an innovative technique of audio cryptography based on the Python computer language. To ensure secrecy and integrity, the suggested system encrypts and decrypts audio signals using advanced cryptographic techniques. A crucial component of AES, the cryptographic key is dynamically created to improve security. Python's broad library support and ease of use make it an ideal platform for implementing the AES algorithm, which ensures dependable and effective audio data encryption. The system utilizes Python's cryptography library for seamless integration and ease of implementation. Simulation results demonstrate the efficacy of the AES algorithm in securely encrypting and decrypting audio data with reduced noise compared to traditional methods.

Audio Cryptography via Enhanced Genetic Algorithm

Audio Cryptography via Enhanced Genetic Algorithm

Design of an Analog Time-Varying Audio Cryptography System Based on Sliding Mode Synchronization of Non-identical Chaotic Systems Described with Time-Delayed Fractional-Order Dynamics

Design of an Analog Time-Varying Audio Cryptography System Based on Sliding Mode Synchronization of Non-identical Chaotic Systems Described with Time-Delayed Fractional-Order Dynamics

Audio Cryptography via Enhanced Genetic Algorithm

As communication technologies surged recently, the secrecy of shared information between communication parts has gained tremendous attention. Many Cryptographic techniques have been proposed/implemented to secure multimedia data and to allay public fears during communication. This paper expands the scope of audio data security via an enhanced genetic algorithm. Here, each individual (audio sample) is genetically engineered to produce new individuals. The enciphering process of the proposed technology acquires, conditions, and transforms each audio sample into bit strings. Bits fission, switching, mutation, fusion, and deconditioning operations are then applied to yield cipher audio signals. The original audio sample is recovered at the receiver's end through a deciphering process without the loss of any inherent message. The novelty of the proposed technique resides in the integration of fission and fusion into the traditional genetic algorithm operators and the use of a single (rather than two) individual(s) for reproduction. The effectiveness of the proposed cryptosystem is demonstrated through simulations and performance analyses.

Audio Cryptography via Enhanced Genetic Algorithm

As communication technologies surged recently, the secrecy of shared information between communication parts has gained tremendous attention. Many Cryptographic techniques have been proposed/implemented to secure multimedia data and to allay public fears during communication. This paper expands the scope of audio data security via an enhanced genetic algorithm. Here, each individual (audio sample) is genetically engineered to produce new individuals. The enciphering process of the proposed technology acquires, conditions, and transforms each audio sample into bit strings. Bits fission, switching, mutation, fusion, and deconditioning operations are then applied to yield cipher audio signals. The original audio sample is recovered at the receiver's end through a deciphering process without the loss of any inherent message. The novelty of the proposed technique resides in the integration of fission and fusion into the traditional genetic algorithm operators and the use of a single (rather than two) individual(s) for reproduction. The effectiveness of the proposed cryptosystem is demonstrated through simulations and performance analyses.

Multiple video clips preservation using folded back audio-visual cryptography scheme

Science and technology devices pose new and vibrant solutions to the day to day problems faced by the Information Technology user society, data security issues are on the rise as well. Now-a-days security concerns are directly proportional with the steep hike in amount of data handled. The greatest threat comes from individuals who try to access information stored in servers or the cloud or any other location without authorised permission. Visual Cryptography is one of such schemes that involves securing ones information and so is Audio Cryptography. We hardly find any approach that takes into consideration both audio and image files. In our paper we present an algorithm that preserves multiple audio and image files of equal length which in turn can be extended to audio-video clips, naming it Audio-Visual Cryptography. These audio-video clips are broken into equal number of dependant share clips using Folded Back Audio-Visual Cryptography Scheme (FBAVCS) such that the decryption process includes basic logical operations between the corresponding pixels and samples, in case of image and audio respectively, of the successive shares.

An Audio Multiple Shuffle Encryption Algorithm

The growth rate of the internet exceeds day by day. With the fast growth of internet, there is need to protect the sensitive data from unauthorized access. Cryptography plays a major role in the field of network security. There are many encryption techniques available currently to secure the data. Cryptography can be defined as the art or science of altering information or change it to a chaotic state, so that the real information is hard to extract during transfer over any unsecured channel. Latest advancements in technology and new concepts like quantum cryptography have added a complete new dimension to data security. The strength of this cryptographic technique comes from the fact that no one can read (or steal) the information without altering its content. This alteration alerts the communicators about the possibility of a hacker and thus promising a highly secure data transfer. Audio cryptography can be employed in audio distribution for the purpose of guaranteeing the confidentiality. Electronic commerce in audio products would be facilitated by the development of solutions which can ensure security/privacy, efficiency in compressed domain to reduce the bandwidth requirements, flexibility of implementing progressive audio quality control and computationally inexpensive to be used in real-time systems. Audio cryptography aims to minimize the residual intelligibility of the original audio and control the access to only authorized users. It is similar to but not a direct application of normal cryptographic techniques. The main advantage is that scrambled audio are still validly formatted which can be played by the corresponding players. In this research work, a novel method for audio encryption is proposed using random permutation with multiple key applications. The proposed method would not only provide highly secure audio but also efficient for audio file having higher frequency band. MATLAB R2013a has been used as an implementation platform using signal processing tool box.

A robust copyright and ownership protection mechanism for music

There have been lots of copyright protection scheme in previous studies; however, most of them only emphasize on publisher's copyright protection except customer's ownership protection. In this paper, we propose a digital right protection mechanism to resolve both the publisher's copyright and customer's ownership protection issues related to digital music. We use 3-level discrete wavelet and audio cryptography technique to generate secret shares of customer and publisher. On verification, public shares will be extracted from digital music, and we can verify customer and publisher's digital rights by superimposing its secret shares and public shares. A D2RP model and protocol in practice are also proposed. To test the robustness of our proposed mechanism, six signal processing attacks are introduced. After experiment, our proposed mechanism can resist most of signal processing attacks; however, Mpeg compression can cause more damage than other attacks.

To Modify the Partial Audio Cryptography for Haar Wavelet Transform by Using AES Algorithm

To Modify the Partial Audio Cryptography for Haar Wavelet Transform by Using AES Algorithm

Cogent Sharing Of Covert File Using Audio Cryptographic Scheme

In an audio secret sharing scheme, the shares are created by embedding the secret message into an audio file. The audio or the music file which is used to embed the given message is called cover sound. A 2-out-of-2 audio cryptography is a secret sharing scheme that can be used to hide a digital message into 2 shares and we can perceive the message by playing these 2 sounds simultaneously. In this paper a new (2, 2) audio cryptography scheme is proposed. The proposed scheme hides a digital secret message into two audio files. The original secret sound or audio file can be recovered back by playing simultaneously both the audio files.