VANGUARD: A Blockchain-Based Solution to Digital Piracy

Online pirates and Intellectual Property (IP) holders have been in perpetual war over various products like music, movies, software, etc. since the popularity of the Internet. It is estimated that the US entertainment industry loses approximately 29 billion USD every year for pirates. Online piracy has since gone from bad to worse as growing internet users and better broadband connections enable people to share large files freely over the internet. The objective of this research is to investigate the causes and enablers for online piracy in movie industry and to come up with an anti-pirating solution. The primary outcome of the study will consist of a dedicated blockchain based anti-piracy system, 2018;Vanguard2019;. This system will provide all-round piracy protection from a built-in streaming service to a component to actively look through the internet for pirated movies and torrents. This system will greatly deter the piracy of movies since the IP holders can ensure their IP rights through this system and quickly act against illegitimate distribution of their media

Semifragile Speech Watermarking Based on Least Significant Bit Replacement of Line Spectral Frequencies

There are various techniques for speech watermarking based on modifying the linear prediction coefficients (LPCs); however, the estimated and modified LPCs vary from each other even without attacks. Because line spectral frequency (LSF) has less sensitivity to watermarking than LPC, watermark bits are embedded into the maximum number of LSFs by applying the least significant bit replacement (LSBR) method. To reduce the differences between estimated and modified LPCs, a checking loop is added to minimize the watermark extraction error. Experimental results show that the proposed semifragile speech watermarking method can provide high imperceptibility and that any manipulation of the watermark signal destroys the watermark bits since manipulation changes it to a random stream of bits

Information Forensics and Security: A quarter-century-long journey

Information forensics and security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to facilitate the gathering of solid evidence to hold perpetrators accountable. For over a quarter century, since the 1990s, the IFS research area has grown tremendously to address the societal needs of the digital information era. The IEEE Signal Processing Society (SPS) has emerged as an important hub and leader in this area, and this article celebrates some landmark technical contributions. In particular, we highlight the major technological advances by the research community in some selected focus areas in the field during the past 25 years and present future trends

Copyright Protection for Surveillance System Multimedia Stream with Cellular Automata Watermarking

Intelligent Surveillance Systems are attracting extraordinary attention from research and industry. Security and privacy protection are critical issues for public acceptance of security camera networks. Existing approaches, however, only address isolated aspects without considering the integration with established security technologies and the underlying platform. Easy availability of internet, together with relatively inexpensive digital recording and storage peripherals has created an era where duplication, unauthorized use and misdistribution of digital content has become easier. The ease of availability made digital video popular over analog media like film or tape. At the same time it demands a sharp attention regarding the ownership issue. The ownership and integrity can easily be violated using different audio and video editing softwares. To prevent unauthorized use, misappropriation, misrepresentation; authentication of multimedia contents achieved a broad attention in recent days and to achieve secure copyright protection we embedded some information in audio and videos and that audio or video is called copyright protected. Digital watermarking is a technology to embed additional information into the host signal to ensure security and protection of multimedia data. The embedded information can’t be detected by human but some attacks and operations can tamper that information to breach protection. So in order to find a secure technique of copyright protection, we have analyzed different techniques. After having a good understanding of these techniques we have proposed a novel algorithm that generates results with high effectiveness, additionally we can use self-extracted watermark technique to increase the security and automate the process of watermarking. Forensic digital watermarking is a promising tool in the fight against piracy of copyrighted motion imagery content, but to be effective it must be (1) imperceptibly embedded in high-definition motion picture source, (2) reliably retrieved, even from degraded copies as might result from camcorder capture and subsequent very-low-bitrate compression and distribution on the Internet, and (3) secure against unauthorized removal. Audio and video watermarking enables the copyright protection with owner or customer authentication and the detection of media manipulations. The available watermarking technology concentrates on single media like audio or video. But the typical multimedia stream consists of both video and audio data. Our goal is to provide a solution with robust and fragile aspects to guarantee authentication and integrity by using watermarks in combination with content information. We show two solutions for the protection of audio and video data with a combined robust and fragile watermarking approach. The first solution is to insert a time code into the data: We embed a signal as a watermark to detect gaps or changes in the flow of time. The second solution is more complex: We use watermarks to embed information in each media about the content of the other media. In our paper we present the problem of copyright protection and integrity checks for combined video and audio data. Both the solutions depend upon cellular automata, cellular automata are a powerful computation model that provides a simple way to simulate and solve many difficult problems in different fields. The most widely known example of Cellular Automata is the Game-of-Life. Cellular automaton growth is controlled by predefined rule or programs .The rule describes how the cell will interact with its neighborhood. Once the automaton is started it will work on its own according to the rule specified.

Blind Detection of Copy-Move Forgery in Digital Audio Forensics

Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark or signature in an audio that is unknown in most of the real-life scenarios. Therefore, forgery localization becomes more challenging, especially when using blind methods. In this paper, we propose a novel method for blind detection and localization of copy-move forgery. One of the most crucial steps in the proposed method is a voice activity detection (VAD) module for investigating audio recordings to detect and localize the forgery. The VAD module is equally vital for the development of the copy-move forgery database, wherein audio samples are generated by using the recordings of various types of microphones. We employ a chaotic theory to copy and move the text in generated forged recordings to ensure forgery localization at any place in a recording. The VAD module is responsible for the extraction of words in a forged audio, and these words are analyzed by applying a 1-D local binary pattern operator. This operator provides the patterns of extracted words in the form of histograms. The forged parts (copy and move text) have similar histograms. An accuracy of 96.59% is achieved, and the proposed method is deemed robust against noise

Dual Watermarking in Cyber Security

Cyber security is generally a conservatory of the conventional information system security that is aimed at protecting cyber threats, like cyber terrorism, cyber warfare, and cyber espionage to corrupt digital information. This leads to increase the researches in cyber security. This paper proposes the application of dual watermarking in cyber technology, focusing on forgery detection. The rest of the paper presents a brief overview of cyber security and the role of digital dual watermarking.&nbsp

Securing Audio Watermarking System using Discrete Fourier Transform for Copyright Protection

The recent growth in pc networks, and a lot of specifically, the planet Wide internet, copyright protection of digital audio becomes a lot of and a lot of necessary. Digital audio watermarking has drawn in depth attention for copyright protection of audio information. A digital audio watermarking may be a method of embedding watermarks into audio signal to point out genuineness and possession. Our technique supported the embedding watermark into audio signal and extraction of watermark sequence. We tend to propose a brand new watermarking system victimization separate Fourier remodel (DFT) for audio copyright protection. The watermarks area unit embedded into the best outstanding peak of the magnitude spectrum of every non-overlapping frame. This watermarking system can provides robust lustiness against many styles of attacks like noise addition, cropping, re-sampling, re-quantization, and MP3 compression and achieves similarity values starting from thirteen sound unit to twenty sound unit. Additionally, planned systems attempting to realize SNR (signal-to-noise ratio) values starting from twenty sound unit to twenty-eight sound unit. DOI: 10.17762/ijritcc2321-8169.15055