Abstract: A system for implementing traceability to a data item comprises a user device and a gateway server. The user device appends headers to a data packet that includes the data item. The headers comprise parameters including origin information associated with the user device and a user. The gateway server receives the data packet and compares each parameter with a counterpart parameter from a list of expected parameters. The gateway server determines whether more than a threshold number of the parameters corresponds to counterpart parameters from among the list of expected parameters. In response to determining that more than the threshold number of the parameters correspond to counterpart parameters from among the list of expected parameters, the gateway server appends a second header to the data packet, where the second header indicates that the data packet is verified. The gateway server communicates a request message that includes the data packet.

Abstract: A system for validating the origin information of a data item accesses a data packet that indicates a request to transfer a data item. The data packet is appended with a first header and a second header. The first header comprises information about the sender of the data packet. The second header comprises information about a user device from which the data packet has originated. The system compares the information about the sender of the data packet with previously provided user information and determines that the user information corresponds to the information about the sender. The system communicates a request that indicates whether the information about the user device is valid and receives a message that indicates the information about the user device is valid. In response, the system communicates a message that comprises the data packet and instructions that, upon execution, cause the data packet to be transferred.

Abstract: A system for performing secured operations includes a user device and a server. The user device generates a first operation data that comprises the origin of the operation and a unique identifier of a user. The user device communicates the operation data to the server. The server generates, based on the first operation data, one or more first conditional rules that comprise a first rule that indicates the operation is to be executed when a second user requesting to receive a data item is identified. The server determines that one or more first conditional rules are met. In response, the server communicates a signal to the user device, where the signal indicates to transfer the data item to a second user device associated with the second user.

Abstract: A system is configured to perform an interaction between a first user and a second user. The system comprises memory operable to store a data log comprising information associated with the interaction and a hold duration. The system comprises a processor operably coupled to the memory and a blockchain network. The processor is configured to receive a request from a first user device to record the interaction on the blockchain network, and store information associated with the interaction in a data log. The processor is configured to determine whether a cancel request is received. If received, the processor is configured to cancel the request to record the interaction on the blockchain network. If not received, the processor is configured to hold the request to record the interaction on the blockchain network for the hold duration, and subsequently record the interaction on the blockchain network.

Abstract: A system includes a memory and a processor that validates an interaction between an initiating and a receiving device. An encrypted request is received to perform the interaction and the processor extracts an initiating device identification, a receiving device identification, and one or more numerical values associated with the interaction. Using this extracted information, the processor produces a verification key by applying a hash function and a verification checksum value using a checksum function. The verification key and verification checksum value are then compared with an authentication key and authentication checksum value that were produced in a same manner prior to the interaction being initiated. If it is determined that either the verification key and the authentication key do not have the same value, or verification checksum value and authentication checksum value do not have the same value, then the interaction is reversed.

Abstract: The present disclosure details systems and methods for homomorphic encryption-based data caching. This technology detects transaction patterns via a monitoring module that liaises with both a payment system and an entity system. Prior to its processing, transaction data is encrypted with a homomorphic encryption module. A dynamic interface, aligned with a local point-of-sale (POS) cache, prioritizes data based on current transaction metrics. If a recipient server is busy, the transaction data is rerouted, stored in the POS's local cache, and queued. The transaction's success is gauged against a predefined cut-off time. Unsuccessful transactions within this window are slated for batch processing, yet resource processing proceeds while awaiting this batch processing.

Abstract: Methods, systems and apparatus for dynamic multi-level detection of compromised transaction receivers are provided. The apparatus may include a sensor communication module (“SCM”) to monitor a transaction between a card and a card reader. The apparatus may include a terminal software module (“TSM”) configured to compare sensor data with data included in a threshold lookup table. Based on the comparison, the TSM may output a threshold status. The status may indicate a violation or confirmation. The apparatus may include a dynamic mutual cryptographic authenticator (“DMCA”). The DMCA may terminate the transaction in response to receipt of the threshold violation. The DMCA may initiate an encrypted challenge response communication module (“ECRCM”) in response to receipt of the threshold confirmation. The ECRCM may verify decryption and exchange of challenges between the card and the card reader. In response to confirming the decryption and exchange of the challenges, the transaction may be authenticated.

Abstract: A device, during a first interaction in real time, accesses from optical cells a measurement of optical emissions generated by hardware components inside the device responsive to a data card interacting with the device, generates a first optical emission pattern based on the measurement, determines whether the first optical emission pattern matches a baseline optical emission pattern, upon determining a match, determines whether the data card is associated with prohibited interactions, upon determining the first data card is not associated with prohibited transactions, determines whether the device is connected to a malicious IP address, upon determining the device is not connected to a malicious IP address, approves the first interaction. The device declines the first interaction if the first optical emission pattern does not match the baseline optical emission pattern, the first data card is associated with prohibited interactions, or the device is connected to a malicious IP address.

Abstract: A system for two-way projection of information and contactless communication of a data item includes a memory and a processor coupled to the memory. The processor initiates a virtual session for an interaction between an entity owner and a user relating to a set of objects and generates a non-fungible token for the virtual session. The processor tracks current information associated with the set of objects and simultaneously project the current information to a first virtual device of the entity owner and a second virtual device of the user. The processor receives, via the second virtual device of the user, a selection of one or more objects and a data item with respect to the selected objects. The processor communicates the data item and the generated non-fungible token for fulfillment of the selected objects to the user. The data item is communicated without requiring explicit contact by the user.

Abstract: A computing platform may generate, using a generative AI model, voice based authentication prompts corresponding to a user. Upon receiving a registration request from the user, the computing platform may identify the voice based authentication prompts for the user. The computing platform may send, to a first computing device of the user, the voice based authentication prompts and may receive/store voice based authentication information corresponding to the voice based audio inputs. Based on receiving an access request, the computing platform may send the plurality of voice based authentication prompts, and may receive, from a second computing device, additional voice based audio inputs. The computing platform may score, based on the voice based authentication information, the additional voice based audio inputs. The computing platform may compare the score to a threshold. Based on identifying that the score fails to meet the threshold, the computing platform may initiate security actions.

Abstract: The disclosure provides a method that includes presenting a simulated user device in a virtual environment, and receiving user credentials in response to an avatar interacting with the simulated user device. The method includes comparing the user credentials to known user credentials. The method includes determining that the avatar is associated with the user based on the comparison. The method includes identifying a first prior interaction from a data log of interactions, where the first prior interaction is associated with a first digital item token, and identifying a second prior interaction from the data log of interactions, where the second prior interaction is associated with a second digital item token. The method includes retrieving the first digital item token and the second digital item token, and presenting the first digital item token and the second digital item token on the simulated user device.

Abstract: A method includes receiving a request. The request is encrypted to generate an encrypted request. The encrypted request includes a version information for a first software package deployed in a standalone computing system, and a region information and a hardware information for the standalone computing system. The encrypted request is sent to a respective regional data center of a cloud computing system based on the region information of the first software package. A second software package is identified among software packages stored in the respective regional data center. The second software package corresponds to the hardware information of the first software package. The version information of the first software package is compared to a version information of the second software package. In response to identifying that the second software package is more recent than the first software package, the second software package is deployed to the standalone computing system.

Abstract: Artificial intelligence, in the form of machine-learning models, are implemented to dynamically detect when an online or mobile app application is being filled-out/submitted by an autonomous software program/bot (e.g., an invalid application submission), as opposed to a human (i.e., a valid application submission). Telemetry data is captured from the mobile application or web/online application that is indicative as to whether the application forms are being filled-out by a human or an autonomous software program. The telemetry data is applied to machine learning models to determine if the telemetry data results in a recognized pattern that indicates autonomous software program data entry or, conversely, human data entry. In the event that an application submission is determined to be filled-out by an autonomous software program/bot, subsequent submission and/or further processing of the application is denied.

Abstract: Systems, computer program products, and methods are described herein for secure apparatuses to share and deploy machine build programs utilizing unique hash tokens. The invention includes the steps of transforming a resource machine build-program into a first non-fungible token (NFT1) via a resource machine build orchestration module, embedding NFT1 into a flash drive using a flash drive preparation module, generating a second non-fungible token (NFT2) during an interaction of a resource machine with the USB flash drive via a dynamic NFT generator module, wherein NFT2 includes data representing an ownership certificate for the resource machine build owned by a vendor, generating a resultant integrated non-fungible token (NFT3) via a dynamic smart contract module, wherein NFT3 is generated by combining NFT1 and NFT2, and activating and deploying the resource machine build-program on the resource machine via a build activation module, wherein the activation is triggered by the generation of NFT3.

Abstract: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: A color-changing smart card may be provided. The smart card may include a first layer encasing at least a front of the smart card. The smart card may include a smart chip on the front of the smart card. The smart chip may be configured for transmitting and receiving electronic communications to and from a point of sale (“POS”) device. The smart card may include microcapsules residing on a second layer of the smart card. When the microcapsules are in a rest state the first layer may have a first color. When the microcapsules are in an active state the first layer may have a second color. The microcapsules may be triggered to change the color in response to the smart chip receiving an electronic communication of a status of a transaction initiated by the smart card at the POS device.

Abstract: A computing chip may comprise a memory that stores a machine-learning model. an optical absorption spectroscopy component, and one or more processors operably coupled to the memory and the optical absorption spectroscopy component. The one or more processors may cause the optical absorption spectroscopy component to emit radiation to N pre-determined directions within an internal space of a computing device. The one or more processors may cause the optical absorption spectroscopy component to sample an absorption of reflections of the emitted radiation for each of the N pre-determined directions. The one or more processors may determine that one or more hardware components of the computing device are in particular abnormal conditions by processing the N sampled absorptions with the machine-learning model. The one or more processors may send a notification indicating that the one or more hardware components are in the particular abnormal conditions.

Abstract: Self-orchestration and -management of Automated Teller Machines (ATMs) leveraging the use of extended Reality (XR) amongst support personnel to perform the maintenance/repair. Issues and events required to address the issues are identified at the ATM and a maintenance queue is generated, and subsequently managed, at the ATM that includes an ordered listing of the events and assigned support personnel for each event, along with access credentials for each support personnel. Management of the maintenance queue includes notifying the support personnel of their event assignments of the requisite timing requirements. XR is used to facilitate maintenance and repair in a collaborative and, in some instances simultaneous, manner between remote and onsite support personnel. Various different XR operational modes are implemented to assist support personnel in accomplishing the assigned events without the need for extensive training and/or experience.

Abstract: Arrangements for remote device control and transaction processing are provided. In some aspects, a local computing device may initiate a communication session with the self-service kiosk. The local computing device may capture self-service kiosk identifying data and may generate a deep link to an application. The local computing device may transmit the deep link and self-service kiosk identifying information to a remote computing device. An indication of selection of the deep link may be received by the local computing device and a remote transaction processing session may be initiated at the self-service kiosk. The self-service kiosk may transmit a user interface for display by the remote computing device. An option from the user interface may be selected for processing. The self-service kiosk may process the selected option, send a notification of transaction completion to the remote user computing device and terminate the communication session with the local user computing device.

Abstract: A smart-dust information security and energy optimization process/machine/system is disclosed for use with an ATM. Tiny microelectromechanical systems (MEMS) less than 1 mm in size are deployed and distributed in and around the ATM internal and external components. The MEMS include various sensors to detect component malfunctions and identify security threats (e.g., card skimmers), and also to place the ATM in a reduced energy state whenever possible. MEMS interoperable components and sensors may include, inter alia, batteries, wireless transmitters/receivers, processors, memory, analog-to-digital converters, LIDAR, photo detectors, vibration detectors, motion detectors, wireless signal detectors for detecting Bluetooth or RFID signals, temperature sensors, humidity sensor, a power consumption/induced electromagnetic energy sensors, piezoelectric sensors, sound sensors, etc.