Improved Hybrid Fingerprint-Based P2P Media Distribution For Privacy Protection

It has been suggested that anonymous fingerprinting could be an easy way to ensure the lawful dissemination of copyright-protected multimedia content without compromising the privacy of customers, whose names would only be revealed in the event of illegal re-distribution of the content. This idea has been put forward as a potential solution to the problem. However, the majority of the currently available anonymous fingerprinting systems are not practical. This is due to the fact that they make use of complicated protocols that take up a lot of time, as well as homomorphic encryption of the data. Furthermore, they distribute the data using a unicast approach, which does not scale well for a large number of clients. The concept of recombined fingerprints serves as the foundation for this body of work, which also makes an effort to overcome some of these restrictions. On the other hand, recommended fingerprint approaches need a complex graph search for traitor monitoring, which in turn demands the participation of additional buyers and honest proxies in their P2P distribution scenario. Getting rid of these issues and developing a fingerprinting system that is not only efficient but also scalable, private, and makes use of P2P technology is the purpose of this research

Secure logarithmic audio watermarking scheme based on the human auditory system

This paper proposes a high capacity audio watermarking algorithm in the logarithm domain based on the absolute threshold of hearing (ATH) of the human auditory system (HAS) which makes this scheme a novel technique. Considering the fact that the human ear requires more precise samples at low amplitudes (soft sounds), the use of the logarithm helps us design a logarithmic quantization algorithm. The key idea is to divide the selected frequency band into short frames and quantize the samples based on the HAS. Using frames and the HAS improves the robustness, since embedding a secret bit into a set of samples is more reliable than embedding it into a single sample. In addition, the quantization level is adjusted according to the HAS. Apart from remarkable capacity, transparency and robustness, this scheme provides three parameters (frequency band, scale factor and frame size) which facilitate the regulation of the watermarking properties. The experimental results show that the method has a high capacity (800 to 7000 bits per second), without significant perceptual distortion (ODG is greater than ¿1) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3)

Secure logarithmic audio watermarking scheme based on the human auditory system

Peer-reviewedThis paper proposes a high capacity audio watermarking algorithm in the logarithm domain based on the absolute threshold of hearing (ATH) of the human auditory system (HAS) which makes this scheme a novel technique. Considering the fact that the human ear requires more precise samples at low amplitudes (soft sounds), the use of the logarithm helps us design a logarithmic quantization algorithm. The key idea is to divide the selected frequency band into short frames and quantize the samples based on the HAS. Using frames and the HAS improves the robustness, since embedding a secret bit into a set of samples is more reliable than embedding it into a single sample. In addition, the quantization level is adjusted according to the HAS. Apart from remarkable capacity, transparency and robustness, this scheme provides three parameters (frequency band, scale factor and frame size) which facilitate the regulation of the watermarking properties. The experimental results show that the method has a high capacity (800 to 7000 bits per second), without significant perceptual distortion (ODG is greater than ¿1) and provides robustness against common audio signal processing such as added noise, filtering and MPEG compression (MP3)