CRYPTOGRAPHICALLY SIGNED AUTONOMOUS MEDIA SYNTHESIS AND DYNAMIC CAPABILITY ACCESS SYSTEM
The cryptographic system addresses security vulnerabilities in AI-driven creative industries by integrating biometric and ethical constraints with dynamic memory allocation and blockchain registration, ensuring secure and compliant media production.
Patent Information
- Application Number
- TR202612328
- Authority / Receiving Office
- TR · TR
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2026-07-23
- Publication Date
- 2026-08-21
AI Technical Summary
Current AI solutions in traditional creative industries suffer from security vulnerabilities, including input vulnerability, constraint bypass, hardware vulnerabilities, and watermarking and verification vulnerabilities, which allow unauthorized access and breaches, and lack dynamic breach detection.
A cryptographic system that uses biometric and ethical constraints, AI-based monitoring, and dynamic memory allocation, integrated with blockchain registration and hybrid verification mechanisms, to ensure secure and compliant media production.
The system provides robust security by dynamically adjusting operations to comply with ethical constraints, ensuring secure media production and ownership, while maintaining confidentiality through autonomous smart contracts.
Abstract
Description
CRYPTOGRAPHICALLY SIGNED AUTONOMOUS MEDIA SYNTHESIS AND DYNAMIC CAPABILITY ACCESS SYSTEM Technical Field to Which the Invention Relates This invention is suitable for television series, films, theatre, advertising, voice acting, video games, and audiovisual broadcasting. (video audiobooks, podcasts) and performance skills to work in the interactive media sectors. artists (living, deceased and digitally authorized heirs) or entirely synthetic digital characters; actors, models, mannequins, stunt doubles, voice actors, etc.) The invention relates to the structuring of biometric, physical, and ethical consent data into the system. Specifically, the invention involves: The provided scenario includes concept texts or still images / photographs, reference videos, and motion images. capture, face-changing data, real-time sensor streams, and brain-computer interaction. neural commands received from interfaces; on local devices, distributed networks or servers By undergoing AI-based cybersecurity analysis in isolated protection areas scanning; character and movement requirements obtained with the artists' consent restrictions matching; system shutdown or dynamic censorship in case of violations Modification of the produced autonomous test videos, independent audio and dubbing syntheses, video audiobooks, augmented / virtual / mixed reality assets, 3D autonomous Robust steganographic integrity of property and consent for holograms and multimedia syntheses. watermarks, AI-generated hidden space watermarks, or distributed ledger-based cryptographic hashes registration with matching; and Zero in accordance with approved animation performances. Hybrid verification mechanisms such as Proof of Knowledge allow for the identification of the talent's representative contact information. dynamic resolution, direct connection established, or blind intermediary where information is not disclosed. Its architecture enables the autonomous execution of anonymous processes via smart contracts. It relates to an integrated data management architecture. State of the Art and Technical Problems Current AI solutions in traditional creative industries have serious security and proprietary vulnerabilities. It contains: Input Vulnerability: Since current systems often provide text-to-video protections, opponents can exploit this vulnerability. Instead of entering text, you can use still images (image-to-video), reference videos, neural commands, or faces. They are able to circumvent consent restrictions by using modification technologies. Constraint Bypass: Patented constraints that use only specific mathematical operators. controls by competitors using artificial neural network algorithms, fuzzy logic, or vector space It is possible to circumvent the law legally by using similarity measurements. Furthermore, the existing Since the systems focus solely on halting the operation in the event of a breach, the breach is not detected dynamically. Competing software that filters 35 files and continues production is outside the scope of the patent. Hardware Vulnerabilities: Systems that restrict memory allocation, serverless architectures, or memory It remains inactive in pooling operations, allowing unauthorized transactions to be executed. 1 Watermarking and Verification Vulnerabilities: Server-side vulnerabilities that watermark only pixels. Buried systems can be bypassed in locally running software or in the hidden space of the artificial intelligence model. It may lose its patentability in the face of 40 new generation diffusion models that interfere with communication. Systems where information is shared directly include blockchain-based anonymous smart contracts. It can be punctured by competitors using it. Solution and Advantages of the Invention The invention is based on the type of input (text, still image, sound, reference video, skeletal tracking data, neural stream). 45 independent workers offer a universal biometric and ethical shield. Uploaded data is secure. ethical boundaries in both semantic and physical movement dimensions by encapsulating them in work environments. It subjects it to inspection. The system uses cosine similarity, artificial neural networks, or matrix multiplications to address the artist's ethical constraints. It monitors the process using a wide spectrum of algorithms, such as those mentioned above; in case of a violation, it only adjusts the memory allocation of the operation. Not only does it physically stop the offending action by cutting it off at 50, but it also records the infringing action in real time. the ability to filter and replace with a consent-compliant alternative action (dynamic modification) It has. Media ownership, architectural watermarks integrated into the model's hidden space at the time of production, and It is registered with blockchain hash matching. Resolution of contact information and entitlements is done upon request. 55 depending on whether it is done with Decentralized Identity or Zero-Knowledge Proof protocols This ensures the system operates in an unbreakable manner across both cloud and on-premises architectures; additionally The blind vehicle, with its autonomous smart contracts, absolutely protects the confidentiality of the parties. 2
Claims
1. It is an AI-based media production, talent pooling, and evaluation system. feature; Regardless of individual inputs of capabilities or autonomous data collectors structured; performance artists (living, deceased or entirely synthetic digital) (characters) anthropometric measurements, 3D mesh, point cloud, topological face vectors, volumetric digital twin data, biomechanical features such as facial expressions, walking, running, laughing and crying. machine-based systems that parametrically define movement and micro-expression dynamics, as well as the limits of consent. a readable dynamic ethical boundary mask matrix containing phonetic characteristic data and Pre-registration face / voice liveness verification (liveness detection) and anti-fake data entry (anti- A Universal Biometric and Ethical Database that prevents spoofing. In addition to raw project or script texts uploaded to the system, static visual / photographic inputs, Reference video inputs, motion capture data, skeleton tracking coordinates, audio frequency spectra, face-shifting instructions, real-time sensor streams, and brain- neural command streams received from neural sensors via computer interfaces; isolated, external network encapsulating vector anomalies, motion, and semantics in an isolated memory space with restricted access performing constraint analysis, command injection, and system instruction overwriting attempts An Encapsulated Contextual Project that extracts secure project sensitivity data by filtering it. Media Analysis Unit, The project in question uses sensitivity data and the dynamic ethical boundary mask matrix in question; Hadamard multiplication, cosine similarity, graph-based node matching, fuzzy logic, or artificial neural networks. by subjecting them to algebraic and logical constraint control involving matching algorithms based on the system; By triggering an asymptotic penalty coefficient and generating a logical refusal flag in case of violations, performance is improved. interrupting the data flow to the animation engine by interrupting memory allocation, process termination, packet dropping at the gateway level, or processor core lockup. stopping and / or monitoring the violation action in real time using at least one of the methods dynamically by filtering, censoring, or replacing it with an alternative safe action. A Mathematical Matching and Constraint Control system that makes the system compliant with consent through modification. The module, Autonomous animation using data approved by the aforementioned constraint control module. video, independent voice and dubbing syntheses, multimedia in video audiobook format syntheses, augmented, virtual and mixed reality entities, and 3D autonomous holograms producing; this media output includes the artist's biometric license code and the processing source. steganographic analysis of pixels, sound waves, and video metadata fields is used for verification. 35 cryptographic stamps or AI engines that add architectural watermarks to hidden space matrices, Additionally, it optionally integrates distributed ledger-based cryptographic hash verification for registration. It is a system characterized by containing a Steganographic Autonomous Synthesis Engine.
2. A system that conforms to Claim 1, and its characteristic is; 3 The representative to whom the skills are linked within the Universal Biometric and Ethical Database.
40. Encrypting communication data cryptographically; During the validation phase of synthesized media outputs, the data stamp within the media is examined. or its signature, cryptographically, running on the server side, on local devices, or on distributed networks. The verification module uses the user's active session key, Zero Knowledge Proof, or Multiple Authentication (MSP). Verification of match using one or more biased calculation algorithms. Triggering Attribute-Based Access Control based on condition 45, the encrypted... By dynamically resolving communication information, it directly initiates an external connection between the parties. and / or smart distributed network-based systems with blind agent architecture without disclosing contact information to the parties. by autonomously managing anonymous contract and payment processes through contracts It is a characterized system. 4
