The rapid advancement in internet of things (IoTs) has created new demands for intellectual property (IP) protection. Existing zero-knowledge-based IP watermark detection schemes have low performance in real-time detection. To address this issue, we propose a position fuzzification-based IP watermark detection scheme mainly aiming to reduce the rounds of inquiry. Firstly, a random sequence is produced by chaos system to scramble all the resource positions of an IP design. Then watermark positions are fuzzified to make the scramble algorithm irreversible. A verifier can achieve zero-knowledge proof of IP ownership by one round of inquiry. Experiments show that the proposed scheme can greatly reduce computational complexity during blind IP watermark detection and enhance performance in real-time watermark detection.
Open access
Advanced Steganography and Watermarking Techniques
Aleksandr Zelensky, Viacheslav Voronin, Evgeny A. Semenishchev, Iliya Svirin · 5 authors
In distributed high-performance systems that allow processing large data sets, the important task is the analysis and verification of the video data. The problem of confirming data is relevant for many areas. The need for this arises when fixing offences, banking, remote management, confirmation of actions, etc. In this paper, we describe an approach to verifying video received by a mobile device like mobile phone, tablet or PC, equipped with a camera and controlled by the operating system (Windows, Android or iOS). The proposed algorithm uses the procedure of entering the Swype code using the movement mobile camera. To improving the accuracy, we use additional information from different mobile sensors like accelerometer, gyro, barometer, and GPS. In the process of data verification, video transmission to the server is not perform what ensures the privacy of the captured video data. The server and mobile device stores data about the file size, the date of its recording, the time, the data device and its position.
Currency Recognition and Detection
Advanced Steganography and Watermarking Techniques
Thomas Hepp, Patrick Wortner, Alexander Schönhals, Béla Gipp
The use of blockchain technology to track physical assets is not new. However, the state of the art concepts are not applicable due to several limitations. One limitation is the scalability of blockchains with regard to the number of transactions that can be processed by the network. The well-established technology in tracking products is based on RFID chips that can be cloned. This paper provides insights into how objects can be protected and monitored by a varnish with a unique crack pattern, as an example of a Physical Unclonable Function. The perceptual hash of the unique pattern is used to encrypt the associated data to ensure privacy. Instead of logging each event on the blockchain individually, which is not possible due to the limited transaction throughput, OriginStamp is used to preserve data integrity on the blockchain. OriginStamp aggregates events, combines them through hashing and embeds this hash into a Bitcoin transaction. Once the Bitcoin network mines the transaction into a block and confirms it, the timestamp is considered as immutable proof of existence. With this approach, the integrity of tracking data cannot be contested.
Open access
Advanced Steganography and Watermarking Techniques
Physical Unclonable Functions (PUFs) and Hardware Security
Robert Alexandru Dobre, Radu Preda, Claudia Cristina Oprea, Ionuţ Pirnog
Image authentication importance increases as image acquisition becomes easier with the help of new technologies. Today, almost any phone has a camera with decent performances and sharing images is encouraged by social media. Image tampering is also decreasing in difficulty because of the advances in image editing software. Today's signature-based image authentication techniques rely on storing the image signature until the authentication is needed. This is a disadvantage because the storage support is usually unique, controlled by one entity and could fail. Also, this centralized approach is not fundamentally trustworthy. To solve these problems, the paper proposes a signature-based image authentication method resistant to JPEG compression which makes use of new blockchain technology to store the image signature. With this method, the signature is stored in a decentralized network, significantly increasing the security.
Advanced Steganography and Watermarking Techniques
In this article, we introduce a prototype of an innovative technology for proving the origins of captured digital media. In an era of fake news, when someone shows us a video or picture of some event, how can we trust its authenticity? It seems that the public no longer believe that traditional media is a reliable reference of fact, perhaps due, in part, to the onset of many diverse sources of conflicting information, via social media. Indeed, the issue of "fake" reached a crescendo during the 2016 U.S. Presidential Election, when the winner, Donald Trump, claimed that The New York Times was trying to discredit him by pushing disinformation. Current research into overcoming the problem of fake news does not focus on establishing the ownership of media resources used in such stories-the blockchain-based application introduced in this article is technology that is capable of indicating the authenticity of digital media. Put simply, using the trust mechanisms of blockchain technology, the tool can show, beyond doubt, the provenance of any source of digital media, including images used out of context in attempts to mislead. Although the application is an early prototype and its capability to find fake resources is somewhat limited, we outline future improvements that would overcome such limitations. Furthermore, we believe that our application (and its use of blockchain technology and standardized metadata) introduces a novel approach to overcoming falsities in news reporting and the provenance of media resources used therein. However, while our application has the potential to be able to verify the originality of media resources, we believe that technology is only capable of providing a partial solution to fake news. That is because it is incapable of proving the authenticity of a news story as a whole. We believe that takes human skills.
Bitcoin is a cryptocurrency and a peer-to-peer payment system, where transactions directly take place between pseudo-anonymous users, without any centralised authority. Since the block-chain (i.e., the public ledger where transactions are registered) is an example of Big Data, a straightforward visualisation is not very informative. For this reason, we employ techniques from Visual Analytics to filter out undesired information in order to obtain a tool to visually analyse the transactions and help its analysis. For instance, different views can highlight miners, or sources and leaves of bitcoin flows, together with the balance of each address and transaction. Moreover, the main view sees transactions as grouped into disconnected "islands", making it possible to focus on only one of them at once.
Advanced Steganography and Watermarking Techniques
A distributed and tamper proof media transaction framework is proposed based on the blockchain model. Current multimedia distribution does not preserve self-retrievable information of transaction trails or content modification histories. For example, digital copies of valuable artworks, creative media and entertainment contents are distributed for various purposes including exhibitions, gallery collections or in media production workflow. Original media is often edited for creative content preparation or tampered with to fabricate false propaganda over social media. However there is no existing trusted mechanism that can easily retrieve either the transaction trails or the modification histories. We propose a novel watermarking based Multimedia Blockchain framework that can address such issues. The unique watermark information contains two pieces of information: a) a cryptographic hash that contains transaction histories (blockchain transactions log) and b) an image hash that preserves retrievable original media content. Once the watermark is extracted, first part of the watermark is passed to a distributed ledger to retrieve the historical transaction trail and the latter part is used to identify the edited / tampered regions. The paper outlines the requirements, the challenges and demonstrates the proof of this concept.
Open access
Advanced Steganography and Watermarking Techniques
Since the invention of the camera, photos have been used to document reality and to supply proof of events. Yet today it is easy to fabricate realistic images depicting events that never happened. Thus, dozens of papers strive to develop methods for authenticating images. While some commercial cameras already attach digital signatures to photographs, the images often undergo subsequent transformations (cropping, rotation, compression, and so forth), which do not detract from their authenticity, but do change the image data and thus invalidate the signature. Existing methods address this by signing derived image properties that are invariant to some set of transformations. However, these are limited in the supported transformations, and often offer weak security guarantees. We present PhotoProof, a novel approach to image authentication based on cryptographic proofs. It can be configured, according to application requirements, to allow any permissible set of (efficiently computable) transformations. Starting with a signed image, our scheme attaches, to each legitimately derived image, a succinct proof of computational integrity attesting that the transformation was permissible. Anyone can verify these proofs, and generate updated proofs when applying further permissible transformations. Moreover, the proofs are zero-knowledge so that, for example, an authenticated cropped image reveals nothing about the cropped-out regions. PhotoProof is based on Proof-Carrying Data (PCD), a cryptographic primitive for secure execution of distributed computations. We describe the new construction, prove its security, and demonstrate a working prototype supporting a variety of permissible transformations.
Advanced Steganography and Watermarking Techniques