The Toronto-Dominion Bank

Capital One Services, LLC

01 Communique Laboratory Inc.

Talen Summit Holdings Limited

Alexey Shpurov

Brian Andrew Lam

Buturab Rizvi

Alexandra Tsourkis

Adrian Chung-Hey Ma

Francis James Alexander Guttridge

Albert Louis Rothenstein

Milos Dunjic

Helena Litani

Lovell Hodge

Leslie Carol Thomas

Arthur Carroll Chow

Andrew Cheung

Serguei Strakhov

David Beilis

Timothy Willem Ubbens

James Thomas Hensley

Sidharth Kumar Varma

Francis James Guttridge

The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that perform homomorphic computations on encrypted third-party data within a distributed computing environment. For example, an apparatus receives a homomorphic public key and encrypted transaction data characterizing an exchange of data from a computing system, and encrypts modelling data associated with a first predictive model, such as a machine learning model or an artificial neural network model, using the homomorphic public key. The apparatus may perform homomorphic computations that apply the first predictive model to the encrypted transaction data in accordance with the encrypted first modelling data, and transmit an encrypted first output of the homomorphic computations to the computing system, which may decrypt the encrypted first output using a homomorphic private key and generate decrypted output data indicative of a predicted likelihood that the data exchange represents fraudulent activity.

Homomorphic computations on encrypted data within a distributed computing environment

The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely distribute digital assets within a computing environment using permissioned distributed ledgers. For example, an apparatus may receive, from a computing system, an allocation request, a first digital signature applied to the allocation request, and a second digital signature applied to the allocation request and to the first digital signature. Based on a validation of the first and second digital signatures, the apparatus may approve the allocation request and allocate a digital asset to the first device in accordance with the approved allocation request. The apparatus may also perform operations that record a public key and asset data identifying a digital asset onto a distributed ledger, and may generate and transmit, to the first device, confirmation data indicative of the allocation of the digital asset to the first device.

Secure distribution of digital assets within a computing environment using permissioned distributed ledgers

The disclosed exemplary embodiments include computer-implemented apparatuses and methods that validate confidential data based privacy-preserving homomorphic computations involving encrypted data. For example, an apparatus may receive, from a first computing system, encrypted data that includes a first encrypted value representative of at least one of first account data or an element of cryptographic data. Based on the first encrypted value and on second encrypted values, the apparatus may generate encrypted residual values representative of second account data associated with one or more reference accounts, and the apparatus may request and receive a decrypted residual value associated with each of the encrypted residual values from a second computing system. The apparatus may transmit the decrypted residual values to the first computing system, which may validate the first account data based on at least the decrypted residual values and perform operations associated with the validated first account data.

Validating confidential data using homomorphic computations

The disclosed exemplary embodiments include computer-implemented systems, devices, apparatuses, and processes that maintain data confidentiality in communications involving voice-enabled devices in a distributed computing environment using homomorphic encryption. By way of example, an apparatus may receive encrypted command data from a computing system, decrypt the encrypted command data using a homomorphic private key, and perform operations that associate the decrypted command data with a request for an element of data. Using a public cryptographic key associated with a device, the apparatus generate an encrypted response that includes the requested data element, and transmit the encrypted response to the device. The device may decrypt the encrypted response using a private cryptographic key and to perform operations that present first audio content representative of the requested data element through an acoustic interface.

Homomorphic encryption of communications involving voice-enabled devices in a distributed computing environment

The disclosed exemplary embodiments include computer-implemented systems, devices, apparatuses, and processes that maintain data confidentiality in communications involving voice-enabled devices operating within a distributed computing environment. By way of example, an apparatus may receive, from a communications system across a public communications network, a request for an element of data generated by the computing system based on first audio content obtained at a device. The apparatus may obtain the requested data element and further, may generate acoustic data representative of at least a portion of the requested data element. The apparatus may also generate an encrypted response to the received request that includes the acoustic data, and transmit the encrypted response to the device across the public communications network. The device may execute an application program that causes the device to decrypt the encrypted response and to perform operations that present the acoustic data through an acoustic interface.

Maintaining data confidentiality in communications involving voice-enabled devices in a distributed computing environment

The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely manage and regenerate cryptographic keys using permissioned distributed ledgers. For example, a device may receive, from a first computing system, data indicative of a recordation of a first public key onto a distributed ledger. Based on an occurrence of a regeneration condition, the device may transmit, to a second computing system, a second public key and a first digital signature, and the second computing system may validate the first digital signature, apply a second digital signature to the second public key, and transmit the second public key and the digital signatures to the first computing system. The device also receives, from the first computing system, additional data indicative of a recordation of the second public key onto the distributed ledger, and based on the additional data, the device may invalidate the first private key.

Secure management and regeneration of cryptographic keys within a computing environment using permissioned distributed ledgers

An audio stream is detected during a communication session with a user. Natural language processing on the audio stream is performed to update a set of attributes by supplementing the set of attributes based on attributes derived from the audio stream. A set of filter values is updated based on the updated set of attributes. The updated set of filter values is used to query a set of databases to obtain datasets. A probabilistic program is executed during the communication session by determining a set of probability parameters characterizing a probability of an anomaly occurring based on the datasets and the set of attributes. A determination is made if whether the probability satisfies a threshold. In response to a determination that the probability satisfies the threshold, a record is updated to identify the communication session to indicate that the threshold is satisfied.

Real-time anomaly determination using integrated probabilistic system

The disclosed embodiments include computer-implemented processes that, using a distributed notarized ledger, constrain an ability of multiple parties to simultaneously, or near simultaneously, update or modify elements of reference data maintained within a centralized data store. For example, an apparatus may receive, from a first computing system, a request to modify reference data maintained at a second computing system. The apparatus may approve the first requested modification to the reference data based on a notarization criterion maintained within an element of a notarized distributed ledger, and perform operations that record notarization data characterizing the approved modification within an additional element of the notarized distributed ledger. The apparatus may also transmit the notarization data to the first computing system, and the notarization data causing an application program executed by the first computing system to modify local reference data in accordance with the notarization data.

Multidirectional synchronization of confidential data using distributed ledgers

The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely distribute and manage cryptographic keys within a computing environment using permissioned distributed ledgers. By way of example, an apparatus may receive a registration request and a first digital signature applied to the registration request from a device. Based on a validation of the first digital signature, the apparatus may approve the registration request and apply a second digital signature to the registration request and the first digital signature. In some examples, the second digital signature may be indicative of the approval of the registration request by the apparatus. The apparatus may also transmit the registration request and the first and second digital signatures to a computing system, which may validate the first and second digital signatures and perform operations that record a public cryptographic key of an application program executed at the device onto a distributed ledger.

Secure distribution and management of cryptographic keys within a computing environment using distributed ledgers

The disclosed exemplary embodiments include computer-implemented systems, devices, and processes that securely manage transfers of digital assets between computing devices using permissioned distributed ledgers. By way of example, an apparatus may receive, from a first device, a request to transfer a digital asset to a second device and a first digital signature applied to the request. Based on a validation of the first digital signature, the apparatus may approve the request and apply a second digital signature to the request and the first digital signature indicative of the approval of the request by the apparatus. The apparatus may also transmit the request, the first digital signature, and the second digital signature to a computing system, which may validate the first and second digital signatures and perform operations that record the first public key and asset data identifying the digital asset within at least one element of a distributed ledger.

Secure management of transfers of digital assets between computing devices using permissioned distributed ledgers

Quantum security may be enhanced through the use of quantum-safe validators for transactions whereby the quantum-safe validators process quantum-safe addresses and signatures of parties to the transactions. Quantum safety may be added to conventional blockchain transactions, for example, via smart contracts which are executed using cryptographic interlocks to between conventional smart contract execution engines and quantum-safe validators to ensure both quantum-safe processing of addresses and signatures and legitimacy of quantum-safe validators in presenting transactions for incorporation on the chain.

Blockchain endpoint protection

The disclosed exemplary embodiments include computer-implemented systems, apparatuses, and processes that perform homomorphic computations on encrypted third-party data within a distributed computing environment. For example, an apparatus receives a homomorphic public key and encrypted transaction data characterizing an exchange of data from a computing system, and encrypts modelling data associated with a first predictive model using the homomorphic public key. The apparatus may perform homomorphic computations that apply the first predictive model to the encrypted transaction data in accordance with the encrypted first modelling data, and transmit an encrypted first output of the homomorphic computations to the computing system, which may decrypt the encrypted first output using a homomorphic private key and generate decrypted output data indicative of a predicted likelihood that the data exchange represents fraudulent activity.

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Toronto, Canada

Alexey Shpurov