Abstract: Methods, systems, and apparatuses are described herein for protecting the privacy of parties conducting Non-Fungible Token (NFT) transfers by conducting separate NFT transactions on a private blockchain separate from a public blockchain. An issuer and recipient may generate a token secret, and the issuer may send a create token transaction request comprising a unique token identifier, the token secret, and zero-knowledge proof data. Based on that request, an NFT may be minted on a private blockchain. A recipient may request the token by providing the unique token identifier and a zero-knowledge proof generated, by the recipient, based on the token secret. Based on comparing the zero-knowledge proof and the zero-knowledge proof data, the NFT may be sent to the recipient. A hash corresponding to a recipient address and the unique token identifier may be stored in a public blockchain.

Abstract: Systems and methods related to integrating blockchain functions with external systems using a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to a variable non-fungible token that dynamically update metadata during blockchain functions. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to a variable non-fungible token that dynamically update metadata during blockchain functions. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods for preventing blockchain functions associated with malicious entities are disclosed herein. A first blockchain status update may be received from a first authorizing entity. A first counter and a first plurality of authorizing entities can be determined. The first counter and the first plurality of authorizing entities can be updated. The first counter can be compared to a consensus threshold. A first instruction to block requests for communications to the first entity address can be generated. A confirmation of the first instruction can be generated for display.

Abstract: Systems and methods for verifying digitally secured communications between users are disclosed herein. A first user identifier for a first user may be received. A first blockchain address for the first user based on the first user identifier may be determined. A first non-transferable token corresponding to the first user may be generated. A request for a communication may be received. A target address and a target user identifier may be extracted. Whether the communication metadata matches the token metadata may be determined. A validation status for the communication may be determined.

Abstract: Methods and systems disclosed herein may detect a malicious user by scanning the messaging platform with the members for any malicious content using sentiment detection. Sentiment detection may be performed using a machine learning model or another type of sentiment detection. For example, the machine learning model may detect a malicious comment and then determine whether the user is malicious using a variety of behavior patterns. For example, the machine learning model may use factors like reactions from the community, sentiment analysis, and the number of posts to determine whether the user is malicious. By doing so, the system is able to search constantly for users that may be malicious.

Abstract: A computer-implemented method for completing self-executing cryptographic interaction protocols using a completion device is disclosed. The method comprises: establishing, by the completion device, a wireless connection with a source device; receiving, from the source device, a request for completion of a self-executing cryptographic interaction protocol; comparing the information that identifies the self-executing cryptographic interaction protocol or the source device to a configuration stored in the completion device; and based on the comparing resulting in a match: outputting, via an output component of the completion device, a first indication of the match between the information and the configuration; signing the self-executing cryptographic interaction protocol using a digital signature stored in a cryptographic hardware element of the completion device; and sending the signed self-executing cryptographic interaction protocol to the source device.

Abstract: Systems, methods, and apparatuses for proactive generation of biometric signatures are described. Based on a first biometric signature matching a first authenticated signature, an indication of portions of the biometric input that will be different after a second time may be generated. A second authenticated signature based on the indication and the biometric input received at the first time may be generated. A second biometric signature based on the indication and the biometric input received after a second time may be generated. Based on the second biometric signature matching the second authenticated signature, a prompt requesting authorization to generate a third authenticated signature based on the biometric input received after the second time may be generated. Based on receiving authorization to generate a third authenticated signature, a third authenticated signature may be generated.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: The invention pertains to methods for monitoring the operational status of a home automation system through extrinsic visual and audible means. Initial training periods involve capturing image and audio data representative of nominal operation, which is then processed to identify operational indicators. Unsupervised machine learning models are trained with these indicators to construct a model of normalcy and identify expectation violations in the system's operational pattern. After meeting specific stopping criteria, real-time monitoring is initiated. When an expectation violation is detected, contrastive collages or sequences are generated comprising nominal and anomalous data. These are then transmitted to an end user, effectively conveying the context of the detected anomalies. Further features include providing deep links to smartphone applications for home automation configuration and the use of auditory scene analysis techniques.

Abstract: Systems and methods related to a variable non-fungible token that dynamically update metadata during blockchain functions. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to integrating blockchain functions with external systems using a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.

Abstract: Systems and methods related to a variable non-fungible token. A variable non-fungible token comprises a non-fungible token that is minted with an indication of a non-transferable ownership wallet (e.g., a digital wallet for which the non-fungible token is minted for), a non-transferable smart contract address that has permissions for updating metadata for the variable non-fungible token, and a metadata property threshold based on a specific user corresponding to the digital wallet.