Abstract: Arrangements for identifying and resolving anomalies are provided. A computing platform may train a spiking neural network. The computing platform may monitor interaction information associated with one or more computing devices. The computing platform may analyze the interaction information using one or more preconfigured rules. The computing platform may trigger a security identification process. The computing platform may identify and execute an action based on triggering the security identification process.

Abstract: A system for implementing a quantum-based data validation in a network is disclosed. The system generates a quantum key for data packet transmissions. The system distributes the quantum key among a set of end-point devices, where the set of end-point devices are each authorized devices. The system encrypts the data packet with the quantum key. The system receives a request message to access the data packet, where the request message comprises an identifier associated with a requesting device. The system determines whether the request message is originated from an authorized entity by determining whether the identifier associated with the requesting device is recorded as an authorized entity in a blockchain database. If it is determined that the request message is originated from an authorized entity, the system grants access of the data packet to the requesting device. Otherwise, the system denies the request.

Abstract: Systems, computer program products, and methods are described herein for data synchronization and data onboarding protocol using digital twins in a distributed network. The present disclosure includes receiving onboarding data for a user, identifying onboarding tasks using a machine learning model, generating, using the first machine learning model, a task workflow of the onboarding tasks, receiving a stream of task completion data, logging completion of the onboarding tasks in the task workflow, receiving, in a second machine learning model, a stream of interaction data of the user, determining, using the second machine learning model, a presence or an absence of at least one malfeasance indicator by determining at least one malfeasance score based on the interaction data, and generating a digital twin of the user using the interaction data.

Abstract: Described herein are graphite-based infrastructures for high-temperature and/or high-pressure applications and methods of fabricating thereof. Also described are thermal batteries including such infrastructures. An infrastructure may include two graphite structures and a carbide-containing seal positioned between and monolithic with each structure end. The carbide-containing seal may include titanium carbide, zirconium carbide, and/or hafnium carbide. The carbide-containing seal is configured to withstand a temperature of greater than 1500° C. (a) while subjected to an internal pressure of greater than 0.7 MPa (about 100 psi) produced by a molten tin flown through the first structure and the second structure and (b) while remaining monolithic with each of the first-structure sealed end and the second-component sealed end, thereby sealing the two structures. The carbide-containing seal may be formed by graphite fusing, which involves one or more of brazing, reaction bonding, and diffusion bonding.

Abstract: A highly secure and adaptive Interactive Voice Response (IVR) system and method that integrates artificial intelligence, Quantum Key Distribution (QKD), and dynamic fraud prevention is disclosed herein. An Artificial Intelligence (AI) component may continuously analyze caller behavior, including speech patterns, emotional indicators, and potential scripted dialogue, to detect anomalies in real-time. The system and method may adapt IVR pathways based on these analyses, directing suspicious calls into secure environments for further investigation. Quantum encryption may safeguard all communication channels, ensuring that data transmission remains secure and tamper-evident, and electronic countermeasures may disrupt malicious actors non-destructively.

Abstract: A system for implementing security measures to a data packet is disclosed. The system assigns each computing device with a respective encryption key. A first computing device encrypts the data packet with a first encryption key upon creation and/or before transmission. The first computing device encodes the data packet with a quantum encryption key and communicates the encoded data packet to a second computing device. The second computing device determines whether the data packet is received without being intercepted. In response to determining that the data packet is received without being intercepted, the second computing device decrypts the data packet.

Abstract: A computing platform may apply a microshift to an authentication image associated with a user. The computing platform may hash the microshifted authentication image to produce a modified authentication image. The computing platform may receive a request to authenticate the user, wherein the request includes an input image for identity verification. The computing platform may apply the microshift and the hash to the input image to produce a modified input image. The computing platform may compare the modified input image to the modified authentication image. Based on identifying a match, the computing platform may generate, using a neural network, a confidence score indicating a likelihood that the modified input image depicts the user. The computing platform may compare the confidence score to a confidence threshold. Based on identifying that the confidence score meets or exceeds the confidence threshold, the computing platform may authenticate the user.

Abstract: Arrangements for using machine learning to generate decoy data are provided. In some examples, a computing platform may receive a request to access data from a user device. Upon determining that the user device is associated with a threat actor, the computing platform may generate, using a generative artificial intelligence model, decoy first data based. The decoy first data may be provided to the threat actor via the user device. User input requesting access to additional data may be received from the user device of the threat actor and used to generate, via the generative artificial intelligence model, additional decoy data that may also be provided to the threat actor. Accordingly, the threat actor may remain engaged with the computing platform and the computing platform may capture characteristics of the threat actor that may be used to develop and deploy countermeasures.

Abstract: An automated machine fills cylindrical and conical paper tubes with resinous plant materials. A hopper incorporates a rounded bottom terminating in a recessed cavern that facilitates gravity-assisted material flow. Agitator mechanisms operating with randomized bidirectional motion prevent bridging while directing material toward auger intakes. Polished stainless steel augers and spigots with sub-micrometer surface roughness eliminate resin accumulation. An optical sensor system detects tube presence and monitors fill progress through differential reflectance measurements. Adaptive control algorithms calculate optimal overfill percentages based on tube geometry, ensuring uniform product weight. A spring-loaded tension mechanism with adjustable preload controls packing density. The modular architecture supports multiple independent filling lanes for parallel processing. A removable collection tray with quick-release mounting captures material for reuse.

Abstract: Described herein are graphite-based infrastructures for high-temperature and/or high-pressure applications and methods of fabricating thereof. Also described are thermal batteries including such infrastructures. An infrastructure may include two graphite structures and a carbide-containing seal positioned between and monolithic with each structure end. The carbide-containing seal may include titanium carbide, zirconium carbide, and/or hafnium carbide. The carbide-containing seal is configured to withstand a temperature of greater than 1500° C. (a) while subjected to an internal pressure of greater than 0.7 MPa (about 100 psi) produced by a molten tin flown through the first structure and the second structure and (b) while remaining monolithic with each of the first-structure sealed end and the second-component sealed end, thereby sealing the two structures. The carbide-containing seal may be formed by graphite fusing, which involves one or more of brazing, reaction bonding, and diffusion bonding.

Abstract: A system for implementing security measures to a data packet is disclosed. The system assigns each computing device with a respective encryption key. A first computing device encrypts the data packet with a first encryption key upon creation and/or before transmission. The first computing device encodes the data packet with a quantum encryption key and communicates the encoded data packet to a second computing device. The second computing device determines whether the data packet is received without being intercepted. In response to determining that the data packet is received without being intercepted, the second computing device decrypts the data packet.

Abstract: A system for implementing security measures to a data packet is disclosed. The system assigns each computing device with a respective encryption key. A first computing device encrypts the data packet with a first encryption key upon creation and/or before transmission. The first computing device encodes the data packet with a quantum encryption key and communicates the encoded data packet to a second computing device. The second computing device determines whether the data packet is received without being intercepted. In response to determining that the data packet is received without being intercepted, the second computing device decrypts the data packet.

Abstract: A portable device for detecting and mitigating skimming/malicious devices that attempt to gain access to information associated with the portable device is disclosed. The portable device detects the first electromagnetic signal associated with an external device and determines the first set of attributes associated with the first electromagnetic signal. The portable device compares the first electromagnetic signal with an expected electromagnetic signal by comparing each attribute from among the first set of attributes with a corresponding attribute associated with the expected electromagnetic signal. The portable device determines a difference between the first electromagnetic signal and the expected electromagnetic signal based on the comparison. If the determined difference is more than a threshold value, the portable device performs one or more countermeasure actions including an emission of the particular electromagnetic signal via the electromagnetic signal emitter.

Abstract: A system for detecting and mitigating unauthorized access and tampering with respect to a device is disclosed. The system detects an event that indicates an attempt to access a portable device, where detecting the event comprises detecting a mixed signal associated with an external device. The system determines a set of frequencies associated with the mixed signal. The system compares a first frequency from the mixed signal with a set of authorized frequencies. The system determines that the first frequency is not among the set of authorized frequencies. In response, the system determines that the first frequency is associated with a malicious device. The system performs one or more countermeasure actions.

Abstract: A system for implementing a quantum-based data validation in a network is disclosed. The system generates a quantum key for data packet transmissions. The system distributes the quantum key among a set of end-point devices, where the set of end-point devices are each authorized devices. The system encrypts the data packet with the quantum key. The system receives a request message to access the data packet, where the request message comprises an identifier associated with a requesting device. The system determines whether the request message is originated from an authorized entity by determining whether the identifier associated with the requesting device is recorded as an authorized entity in a blockchain database. If it is determined that the request message is originated from an authorized entity, the system grants access of the data packet to the requesting device. Otherwise, the system denies the request.

Abstract: An electronic device detects that an electrical signal was generated by a piezoelectric material that is configured to generate the electrical signal when mechanical stress is applied to the piezoelectric material. The electronic device generates an encryption key based on the electrical signal generated by the piezoelectric material. In response to receiving a request to transmit data, the electronic device encrypts the requested data based on the encryption key to generate encrypted data and transmits the encrypted data.

Abstract: A method for providing a quantum reflection access credentialing (QRAC) system. The method includes receiving a user login. The user login may include a username and password. The user login may be associated with a known user. The system may include a memory for storing information corresponding to light reflected from the face of the user. The method may further include selecting, or receiving a selection of, a light source from among an array of light sources. The method may also include shining light generated by the selected light source on the user's face. The method may also include scanning the user face to capture a reflection of the light generated by the light source. The method may then include confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source. In response to confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source, the method may credential user access.

Abstract: A system for network augmentation using virtual reality is provided. The system may include uploading data relating to a network, to a network augmentation system. The system may include retrieving data relating to network standards. The system may include retrieving data relating to historical network vulnerabilities. The system may include an artificial intelligence (“AI”) module. The AI module may be configured to analyze the network and determine possible network vulnerabilities. The AI module may be configured to output a three-dimensional map of the network to a display module. The three-dimensional map may be displayed on the display module. The three-dimensional map may include the identified possible network vulnerabilities. The system may be further configured to overlay solutions to the possible network vulnerabilities on the three-dimensional map.

Abstract: A method for providing a quantum reflection access credentialing (QRAC) system. The method includes receiving a user login. The user login may include a username and password. The user login may be associated with a known user. The system may include a memory for storing information corresponding to light reflected from the face of the user. The method may further include selecting, or receiving a selection of, a light source from among an array of light sources. The method may also include shining light generated by the selected light source on the user's face. The method may also include scanning the user face to capture a reflection of the light generated by the light source. The method may then include confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source. In response to confirming that the information stored in the memory corresponds to the reflection of the light generated by the light source, the method may credential user access.

Abstract: A system for network augmentation using virtual reality is provided. The system may include uploading data relating to a network, to a network augmentation system. The system may include retrieving data relating to network standards. The system may include retrieving data relating to historical network vulnerabilities. The system may include an artificial intelligence (“AI”) module. The AI module may be configured to analyze the network and determine possible network vulnerabilities. The AI module may be configured to output a three-dimensional map of the network to a display module. The three-dimensional map may be displayed on the display module. The three-dimensional map may include the identified possible network vulnerabilities. The system may be further configured to overlay solutions to the possible network vulnerabilities on the three-dimensional map.