Digital Commons Network^™

Systems And Methods For Location-Verified Augmented Reality Tourism With Multi-Signal Presence Proof And Automated Creator Monetization, Olufemi Abioye

Defensive Publications Series

A web-delivered augmented-reality platform for location-based tourism is disclosed in which interactive story content is bound to real-world geographic locations and delivered through a standard web browser using WebXR, without installation of a native application. Physical presence at a location is established by a multi-signal verification engine that fuses geofence dwell detection, motion-trace analysis for spoofing detection, and cryptographic device attestation into a composite presence-confidence score; when the score exceeds a threshold, the system issues a signed completion token bound to a geofence hash and a time window to resist replay. Raw camera frames are retained on the user device, …

Technical Disclosure: Systemic Implementation Specifications For Inter-Module Telemetry, Bio-Acoustic Substrates, Optocoupled Air-Gaps, And Electro-Magnetic Containment Form Factors, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes the explicit physical, material, electrical, and data-schema specifications required to realize and secure the open-source infrastructure detailed in Document #11827. To prevent downstream utility patent enclosure by proprietary corporate manufacturers, this document defines concrete public-domain implementation parameters for:

1. Schema-Agnostic Inter-Module Telemetry: Raw markdown metadata header serialization protocols.
2. Bio-Acoustic Standing Wave Substrates: Specific density, piezoelectric conversion metrics, and mechanical vessel interface constraints for non-chemical morphogenetic scaffolding.
3. Optocoupled Physical Air-Gap Circuits: Transient buffer relay topologies and fail-closed hardware architectures for local cryptographic computing integrity.
4. Electro-Magnetic Faraday Shielding: Multi-layer nickel-iron containment bulkhead ratios and drainage grounding paths calculated against high-energy …

Systemic Integration Of Lifelong Agentic Mentorship, Contextual Scaffolding, And Sovereign Guardian Protocols In K-12 Pedagogy, Christopher L. Eckes

Defensive Publications Series

This specification details the architecture for a non-centralized, lifelong educational operating system that integrates machine learning as an individualized cognitive accelerator, psychometric auditor, and sovereign security layer. This protocol systematically replaces age-segregated, standardized instructional rotations with an immutable Dual-Focus Baseline Matrix paired with a localized Lifelong Cognitive Mentor.

By tracking an individual's development continuously from the primary entry point (K-1) through adulthood, the system implements Probabilistic Scaffolding—balancing automated aptitude mapping with deliberately engineered "negative learning" spaces. Furthermore, it incorporates an active Guardian Sensor Layerutilizing real-time linguistic and behavioral anomaly detection to insulate the child from predatory coercion and manipulative algorithm …

Rp2p Envelope Message — 32-Byte Universal Protocol Envelope With Safe Override Flag And Priority Field, Edward D. H. Wang

Defensive Publications Series

Field: Network protocol design; robot communication standards; emergency protocol architecture

Problem Solved: No prior robot network protocol defines a universal message envelope that unifies versioning, layer demultiplexing, message identification, priority signaling, payload encoding declaration, and emergency override capability in a fixed-length binary header across all protocol layers simultaneously.

Disclosure Summary: The RP2P Envelope Message defines a fixed 32-byte binary header carried by every RP2P™ message at every layer. A dedicated SAFE override flag in the Flags field and a reserved priority value 0xFF in the priority byte enable unconditional emergency preemption of all queued non-emergency messages.

Key Technical Details:

• …

Multi-Vector Distributed Denial-Of-Service Mitigation Using Zero-Trust Identity And Predictive Artificial Intelligence-Based Distributed Denial-Of-Service Open Threat Signaling, Siva Kondala Rao Mandalapu, Vivek Sinha, Ram Mohan R

Defensive Publications Series

Proposed herein is an integrated, intelligence-driven architecture and system for detecting and mitigating multi-vector distributed denial-of-service (DDoS) attacks by unifying telemetry, zero-trust identity signals, machine-learning prediction, and DDoS Open Threat Signaling (DOTS)-based inter-domain coordination. Unlike conventional solutions that analyze traffic in isolation, the proposed architecture correlates identity context with multi-layer traffic behavior and adapts through a federated learning feedback loop to mitigate DDoS threats or attacks. The resulting approach provides a proactive, accurate, and collaboratively orchestrated defense that can respond to evolving DDoS threats in real time.

Mitigation Of Configuration Race Conditions Via Atomic Policy Application, N/A, N/A, N/A, N/A

Defensive Publications Series

When multiple data loss prevention policies are evaluated sequentially in video conferencing platforms, race conditions and transient configuration states can be introduced. Such sequential applications create brief windows of vulnerability, potentially allowing unauthorized chat access or malicious links before subsequent policies are enforced. Additionally, sequential updates can cause visible flickering in user interface controls. To address these limitations, a method is disclosed wherein policy processing utilizes a single atomic application of a final state. This final state is determined from accumulated settings after all applicable policies are fully processed. Consequently, at most one value is assigned to each setting prior …

Restoring A Communication Device To Normal Operation Using An Embedded Controller Watchdog To Mitigate Processor Hangs, N/A

Defensive Publications Series

Permanently deployed communication devices are susceptible to application processor hangs and crashes. Because these devices operate unattended in restricted locations, manual remediation is difficult and prolonged downtime is experienced. To address this limitation, auxiliary controller circuitry is utilized to provide independent self-remediation. A watchdog function is executed by an embedded controller to monitor heartbeat signals transmitted by the application processor at regular intervals. If a specified number of expected heartbeats fail to be received, a missing heartbeat condition is detected. Parts of the device, or the entire device, are subsequently power-cycled by the embedded controller. The primary purpose of this …

Seven-Layer Rp2p™ Protocol Architecture — Unified Discovery-To-Economy Network Stack For Ai Robot Cooperation, Edward D. H. Wang

Defensive Publications Series

Field: Robot network protocols; distributed systems architecture; AI robot interoperability

Problem Solved: No prior open protocol standard defines a complete layered network architecture for robot-to-robot cooperation covering discovery, identity, trust, communication, cooperation, learning, and economic transaction as a unified, certifiable stack.

Disclosure Summary: RP2P™ defines a seven-layer network protocol architecture — RP2P-0 through RP2P-6 — as a unified stack enabling AI robots, AI agents, and AI Robot Compatible™ infrastructure to discover, identify, trust, communicate, cooperate, learn, and transact with one another across vendors, networks, and geographic boundaries. The architecture is organized into the Connectivity Plane (layers 0–3) and the Cooperation …

Multi-Factor Authentication For Ai Agents, Surendra Vyas, Som Madhab Bhattacharya

Defensive Publications Series

Techniques are provided for receiving an access request to access a resource, the access request including a resource identifier corresponding to the resource and the resource identifier at least partially providing a first authentication. Techniques are further provided for transmitting an authentication request as part of a second authentication, the authentication request including a challenge. Techniques are further provided for receiving a challenge response from an artificial intelligence agent. Techniques are further provided for validating the challenge response. Techniques are further provided for determining the access request requires additional verification. Techniques are further provided for transmitting, using a second authentication …

(((Qpie33))) The Baltic-Atlantic Accord On Substrate Entrainment A High-Science Declaration For Multi-Lateral Technical Councils, Advanced Propulsion Networks, And Global Informatics Initiatives, Teddy Burroughs

Defensive Publications Series

The historic architecture of human academic discovery has inevitably reached its final, localized boundary. For generations, the global scientific engine has functioned within a structured pattern of cognitive isolation, a state wherein the investigating mind projects its own internal fragmentation onto the macroscopic and microscopic phenomena of the natural world. By constructing vast, institutional barriers between the study of mathematics, subatomic particle configurations, cosmic web distributions, and biological information networks, the conventional apparatus has arrived at an artificial computational wall. When a civilization approaches the continuum of reality through the lens of competitive survival logic, institutional vanity, and the fear …

(((Qpie33))) The Delayed Advancements And The Emerging Golden Era: A Strategic Roadmap For Civilizational Re-Alignment, Teddy Burroughs

Defensive Publications Series

The clinical dissection of the thirty-three historical suppression vectors reveals more than a legacy of academic gatekeeping and institutional risk aversion. It exposes a massive reservoir of unexploited, coherent potential that has been held back behind the artificial barriers of local realism. Because traditional institutions spent centuries violently forcing a continuous, non-local field into fragmented binary containment boxes, modern civilization has been operating on a severely delayed technological trajectory.

However, this systemic delay creates an unprecedented civilizational opportunity. By holding back these foundational breakthroughs until the distributed observer network could mature past zero-sum, toddler-minded boundary dynamics, the old paradigm inadvertently …

System For Automated Multi-Speaker Identification And Selective Audio Processing In Research Environments, Eric Zavesky, Brian Gane

Defensive Publications Series

A system and method for automated multi-speaker identification and selective audio processing in research environments addresses the challenge of capturing, analyzing, and managing multi-speaker conversations with privacy protections and minimal manual intervention. The system comprises a microphone array (100) with central omnidirectional and distributed directional microphones positioned at known spatial coordinates, a spatial localization processor (110) triangulating speaker positions using time-of-arrival analysis, an audio fingerprinting module (120) generating session-ephemeral acoustic fingerprints for persistent speaker identification without cross-session tracking, a selective processing module (130) enforcing consent-based filtering through exclusion, anonymization, or pseudonymization modes, a speech separation engine (140) isolating individual contributions …

The Metropolitan Ethical Hive Network (M-Ehn): A Decentralized Cognitive Architecture For Fault-Tolerant Urban Logistics, Christopher L. Eckes

Defensive Publications Series

Highly integrated metropolitan smart cities are increasingly vulnerable to cascading systemic failures, adversarial data poisoning, and the centralized manipulation of critical control software. This paper introduces the Metropolitan Ethical Hive Network (M-EHN), a decentralized cyber-physical architecture for autonomous urban resource management. The M-EHN decouples real-time edge orchestration from macro-logistics optimization across a three-tiered autonomous hierarchy. To eliminate remote exploitation vectors, a physically isolated, ASIC-driven hardware validation core enforces hard-coded safety invariants through transient, zero-knowledge cryptographic handshakes. By shifting system boundaries from volatile software configurations to immutable gate-geometry, the M-EHN ensures fault-tolerant infrastructure operations resilient against both targeted cyber-warfare and administrative …

Structural Mechanisms For A Modular Proactive Ai Cloud Operating System: Hierarchical Context Resolution, Anti-Fabrication-Bounded Narration, And Human-Confirmed Multi-Step Action (Icnli), Valentin Scerbacov

Defensive Publications Series

Deploying a foundation language model into a real operational domain — hosting, healthcare, finance, government, manufacturing, logistics — exposes a class of failures that the model layer cannot, by its probabilistic nature, eliminate: fabrication of facts never retrieved, unreliable multi-step action, loss of structured memory across sessions and channels, the absence of an enforceable human-control gate, and uncontrolled exposure of private data. This disclosure describes a set of structural mechanisms that bound these failures at a layer outside the model — the orchestration kernel — rather than attempting to train them away inside the model. The disclosed mechanisms are: (1) …

Hdfs Grpc Writer: A Unified High-Performance Data Ingestion Engine, Raouf Khan Mr, Mahendra Yadav Mr

Defensive Publications Series

The present disclosure relates to a method and a system for HDFS gRPC writer for unified, high-performance data ingestion system designed to modernize the way both streaming and batch data are written into HDFS. The present disclosure suggests single, scalable gRPC-based ingestion interface capable of handling multiple data formats, while also efficiently managing batching, schema evolution, fault tolerance, and security. After receiving the data, the present disclosure suggests HDFS gRPC writer addresses the small files problem at its source by implementing intelligent size-based and time-based batching. Thereafter, the present disclosure ensures optimal HDFS file sizes without the need for downstream …

Notifications Management Via Attention Budgeting And Collision Detection, Ashwin Goyal

Defensive Publications Series

Notifications to mobile devices that persist beyond their contextually relevant windows cease to be informative prompts and can become annoyances. Current notification paradigms treat the notification tray as a static, append-only data repository, placing the burden of notification lifecycle management and cleanup on the user. This disclosure describes automated notifications management techniques that transform notifications from static payloads into dynamic, self-resolving objects. The techniques include temporal notifications-lifecycle management, app-ecosystem intelligence, state synchronization, spatial optimization, device context, etc. Leveraging automated notification updates and retractions, the techniques reduce or eliminate disadvantages of persistent notifications. The techniques change the notification management paradigm by …

Autonomous Multi-Agent System For Declarative Data Center Lifecycle Management, Ananya Simlai, Niccolò Cascarano

Defensive Publications Series

Conventional data center management can involve manual workflows or static declarative systems that may not effectively adapt to real-time conflicts or complex events, potentially resulting in unpredictable deployment timelines and increased operational risk. Systems and methods are described that can utilize a multi-agent ecosystem for managing data center resources. In such a system, specialized, autonomous software agents can communicate and negotiate with one another through a medium such as an asynchronous fabric to interpret high-level declarative goals. The agents may autonomously orchestrate complex actions, resolve resource conflicts, and adapt to changing conditions. This approach can improve operational resilience and agility …

Artificial Intelligence-Assisted Audio Enhancement And Synchronization In Smartphones For Hearing Aids, Pranav Kuriakkattil

Defensive Publications Series

This publication describes systems and techniques for providing artificial intelligence (AI) assisted audio enhancement and synchronization for hearing aids using an associated smartphone to improve audio quality available to the hearing aid user.  The system overcomes the hardware limitations of conventional hearing aids and improves the user experience, by utilizing the processing power, sensors, and connectivity of the user’s smartphone. The system creates a distributed microphone array by combining hearing aid microphones with smartphone microphones and offloading signal processing to the smartphone to preserve hearing aid battery life. Utilizing AI models for environment classification, speaker tracking, and binaural synchronization, the …

Dynamic Health-Aware Agent Card Extensions To The Agent-To-Agent (A2a) Protocol For Fitness-Based Orchestration In Multi-Agent Systems, Robert Barton, Yathi Udupi, Maithri V M, Jerome Henry

Defensive Publications Series

A service is proposed herein that updates Agent-to-Agent (A2A) cards in real-time regarding the health and performance of a particular agent, including information represented in the particular agent's card, so that other agents have better information before selecting the particular agent for a given task/operation.

Audio Signal Correction Via Transformer-Based Fusion Of Facial Landmarks And Latency Metadata, Ruofei Du, Mahdi Tayarani Najaran

Defensive Publications Series

In remote communication, audio signals and visual signals are often unsynchronized. A mismatch between perceived visuals and corresponding audio leads to speech recognition errors and reduced audio quality. This disclosure provides an architecture for visual-audio speech correction. Features are extracted by a mouth landmark encoder, an audio encoder, and a visual encoder. These features are mapped to a target audio signal through an on-device visual-audio transformer. Simultaneous processing of signals from both visual and audio modalities is performed. Device latency and conferencing platform latency are integrated into transformer encoders during a preprocessing stage. Enhanced audio signals are then decoded to …

Interactive Picture-In-Picture Control Surface For Managing Background Agentic Tasks, Yijo Liu, Clifford Tse Yan Chan, Tiffany Deonne Morris, Shadia Walsh, Golden Gopal Krishna, Lily Duraiswami, Yeun Su Shin, Carl Magnus Borg

Defensive Publications Series

Background processes are frequently suspended by mobile operating systems, which obstructs multitasking during long-running automated browser workflows. Visual feedback regarding the execution state of these workflows is typically absent. This disclosure explains how a live visual preview of an active Document Object Model is converted into a data stream compatible with a picture-in-picture container. A floating window is generated when a context switch occurs away from a mobile browser. A text summary is superimposed on the container to display specific workflow states. Interactive prompts are included directly within the overlay to allow state modifications. User intervention is enabled without a …

Interactive Graphical Interface For Multi-Tab Content Synthesis And Parametric Control, Yijo Liu, Carl Magnus Borg, Tiffany Deonne Morris, Shadia Walsh, Golden Gopal Krishna, Melissa Kuo Bui, Yeun Su Shin, Clifford Tse Yan Chan, Lily Duraiswami

Defensive Publications Series

Current methods for comparing content across multiple browser tabs are limited because tabs are treated as separate rendering instances. Comparisons of data across different pages often involve manual navigation or reliance on static text tables that lack interactivity. A technique is disclosed where a comparison interface is generated by extracting attributes from the underlying data structures of selected browser tabs. This interface synthesizes extracted data into a graphical overlay including parametric controls such as sliders and dials. Interactions with these controls trigger modifications to the browser state. These modifications include the physical reordering of tabs within a tab strip, visual …

Contextual Hardware Security Using Autonomic Physiological State Signatures, Sudeep Chauhan, Ehsan Nourbakhsh

Defensive Publications Series

This document describes techniques and architectures for securing a computing device against physically coerced access by utilizing dynamic autonomic physiological state signatures. Processing circuitry of a computing device (e.g., a primary computing device, a wearable sentinel device, or an industrial control terminal) continuously determines a dynamic physiological baseline from sensor data (e.g., heart rate, galvanic skin response, inertial data). A physiological baseline and anomaly engine utilizes a machine learning model, which accounts for contextual states such as active exercise tracking to filter false positives, to detect a distress state corresponding to a non-voluntary autonomic deviation relative to the dynamic physiological …

Variability-Induced Multiprocessor: A Hybrid Let-Fail-And-Correct System Architecture, Gopi K. Tummala, Devi Yalamarthy

Defensive Publications Series

As technology scales into deep submicron regimes, Multi-Processor Systems-on-Chip (MPSoCs) suffer from heightened process, environmental, and temporal variations. Traditional conservative design guardbanding severely compromises energy efficiency and performance to guarantee correctness under absolute worst-case conditions. This paper introduces a hybrid variation-tolerant multiprocessing prototype that eliminates worst-case safety margins by deploying a dual-layer adaptive architecture. At the processor core level, runtime timing speculation is realized via double-sampling Razor-like flip-flops coupled with microarchitectural clock-gating recovery. At the inter-processor and memory communication level, data corruption induced by aggressive parameters is mitigated using a parameterized Reed-Solomon (5,3) error-correcting codec operating over a FIFO-buffered interconnect …

A Resource-Efficient Framework For Testing Service Expansion Automation, N/A

Defensive Publications Series

The present disclosure describes a resource-efficient framework for testing service expansion automation within cloud computing environments. By leveraging adjacent operational units or cells, the framework allows for the independent cycling of multiple services utilizing a single testing cell. A central load balancer manages traffic by routing requests to proximate services and gracefully falling back to a live secondary cell if a dependent service in the testing cell is unavailable. This framework reduces infrastructure overhead and reduces the overall resource footprint for testing procedures.

Keywords: Cloud Computing, Cell-Based Architecture, Service Expansion, Load Balancing, Automated Testing, Traffic Routing, Infrastructure Scaling.

Zero-Trust Cryptographic Consent Verification For Distributed Agentic Workflows, Muthuramakrishnan Viswanathan, Garen Checkley, Kevin Flanagan

Defensive Publications Series

In some distributed agentic workflows, a vulnerability can exist where downstream agents may be unable to independently verify that a user consented to an operation delegated by a central orchestrator. Systems and methods for cryptographic consent verification can use a user's device (e.g., a smartphone, smart watch, wearable device, augmented reality glasses) to generate a hardware-backed digital signature that cryptographically binds the user's approval to a deterministic transaction payload. This process can generate a verifiable presentation, which may allow each downstream agent to independently and mathematically validate the user's explicit consent before executing an action. This approach can mitigate risks …

Context-Aware Method Selection For Service Continuity During Ursp Updates, Max Mo, Frank Yu, Melody Tien, Poying Chuang

Defensive Publications Series

When a user equipment (UE), such as a smartphone or wearable device, receives a UE route selection policy (URSP) update from a mobile network during an active service, service interruption can occur. A context-aware framework can manage such updates to help maintain service continuity. The framework may incorporate decision-making logic to dynamically select a handling method based on factors like the active service type, network capabilities, and the availability of alternative connections. Possible handling methods can include delaying the update, performing a make-before-break session handover, or offloading the service to an alternative network, for example, a wireless local area network. …

Machine-Learned Probabilistic Handover Between Terrestrial And Non-Terrestrial Networks Utilizing Wearable Device Augmentation, Karthick M. J., Youngtae Cha, Aishwarya Mallampati, Sooraj Sasindran, Thomas Nguyen, Soumyadeep Paul, Hakjun Choi

Defensive Publications Series

This publication describes systems and techniques to manage network handovers between terrestrial networks and non-terrestrial networks using a machine-learned model and wearable device augmentation.  In hybrid connectivity environments, electronic devices can experience data stalls or unnecessary battery drain when relying solely on instantaneous signal strength for handover decisions.  To enhance connectivity, the described systems utilize a machine-learned model to predict a superior handover time based on a probabilistic function.  The model processes inputs that include signal trends, network performance metrics, satellite gap data, and battery state.  A wearable device is integrated to provide physical and contextual augmentation.  The wearable device …

Trusted Family, Friends And Colleagues Contact List System And Method For Bank-Agnostic Financial Actions, Nikita Saprinskiy

Defensive Publications Series

The present disclosure provides a system for managing trusted contacts and financial actions. The system includes a server comprising one or more processors and a memory storing instructions. The instructions, when executed by the one or more processors, cause the server to receive a first contact request from a first issuer associated with a first user, the first contact request identifying a second user by at least one of a phone number or an email address. The server determines whether a second contact request from a second issuer associated with the second user identifying the first user exists in a …

System And Micro-Architecture Level Methods To Optimize Power In A Multiprocessor System-On-Chip, Gopi K. Tummala, Devi Yalamarthy

Defensive Publications Series

Embedded system implementations of many multimedia and network processing applications are characterized by high performance and low power requirements. The development platform must satisfy tight time-to-market and ease of future upgrade requirements, leading to the advent of programmable multiprocessor system-on-chip (MPSoC) architectures. This paper presents system-level and micro-architectural power optimization techniques mapped to an MPSoC architecture alongside a low-power Network-on-Chip (NoC). By integrating pipelined scheduling, unrolling, Dynamic Voltage Scaling (DVS), and Dynamic Power Management (DPM), alongside hardware-level NoC optimizations, the network power dissipation is reduced by 38%, and system-level power reductions of up to 42% are achieved.