Grevin, Emmanuel

The invention is a method for detecting the source of a digital currency fraud, in which a server retrieves both a first currency token (T1) and an associated first signature (SG1) from a first element (SE1) and both a second currency token (T2) and n associated second signature (SG2) from a second element (SE2), both said first and second currency tokens containing a funding currency token (T3) originated from a third element (SE3),the server detects the existence of the digital currency fraud by identifying an anomaly between said first and second tokens, then determines, as a result of a verification of said first and second signatures, if the first token is a fake token created by the first element, if the second token is a fake token created by said second element or if the third element has unduly spent the funding currency token twice.

Disclosed are a method and a system for detecting collision between at least two areas on a body of a smart card. Exemplary method comprises designating a first area, on the body of the smart card, where a user is allowed to customize by placing object(s). The method further comprises designating exclusion zone(s), within the first area, where customization by the user is prohibited. The method further comprises receiving a user input corresponding to placement of the object(s), detecting whether there is a collision between any exclusion zone(s) and any object(s), and in response to the detected collision, generating a prompt for the user to adjust a corresponding position of a colliding object within the first area to avoid collision with any of the exclusion zone(s).

Provided is a system and method, implemented by way of a framework and protocol, for dynamic verification of an ML model trustworthiness in a zero-trust and distributed environment, based on ML model watermarking in conjunction with the production of an attestation. The attestation protocol for a MLaaS function verifies the origin and ownership of a trained ML model used therein. An attestation of origin (AO) result is produced to provide ML model ownership information, whereby a cloud application can evaluate the AO result to verify the ML model ownership information as to whether it can trust the ML model, for example, according to its policy and decide whether to use it or not. Other embodiments disclosed.

Embodiments of the present disclosure relates to a server, a user device, and methods for updating a facial digital image in an electronic document. A method comprises the steps of receiving, from a user, a selection of a facial digital image update option at a user interface of a software application executed on a user device. The method further comprises the steps of receiving a new facial digital image upon the selection of the facial digital image update option. The method also comprises the steps of transmitting a digital certificate generation request to a server. The method also comprises the steps of receiving a digital certificate comprising the new facial digital image and a new SOD and updating the electronic document with the new facial digital image and the new SOD associated with the new facial digital image.

Embodiments of the present disclosure relates to a device and a method for determining carbon footprint of a to-be-deployed cloud application. The method comprises the steps of extracting a topology of an intended cloud infrastructure required by the to-be-deployed cloud application and determining one or more elements in real-time from the topology of the to-be-deployed cloud application. The method also comprises the steps of determining electrical consumption for each of the one or more elements of the to-be-deployed cloud application and determining a total electrical consumption of the to-be-deployed cloud application based on the electrical consumption of each of the one or more éléments. The method further comprises the step of determining an electrical consumption efficiency rating of the to-be-deployed cloud application based on the total electrical consumption.

Disclosed are a method and a system for provisioning credentials for direct communication between a first wireless communication device and a second wireless communication device. Exemplary method comprises establishing a secret key between the first wireless communication device and the second wireless communication device using physical layer security in a V2X (Vehicle-to-Everything) environment. Further, method comprises using the secret key, by the first and second wireless communication devices, to derive one or more keys for establishing the direct communication, or use directly as a shared key for establishing the direct communication.

Systems and methods for enhanced security using space recognition for push approvals on a client device use one or more processors which perform certain operations. The operations can include capturing a real-time environment and creating a spatial map using a camera, comparing the spatial map with a pre-stored device bound image database and proceeding with a push authentication based upon a match between the spatial map captured and information from the pre-stored device bound image database. In some embodiments, the system prevents the push authentication when a lack of a match between the spatial map captured and the information from the pre-stored device bound database exists. In some embodiments, the one or more processors further perform the operation of receiving a push notification after initiating capturing the real-time environment and creating the spatial map.

The invention is a method for preventing the loss of a smart card (10) of a user (50) in which upon detection of a communication between the smart card and a terminal (20) for performing a transaction, the smart card starts emission of a broadcast signal during a preset period. A portable apparatus (30) of the user evaluates an assessed distance between the smart card and the portable apparatus by analyzing parameters of the broadcast signal. The portable apparatus triggers a loss warning if the assessed distance reaches a threshold before a time equal to the preset period. The smart card uses an internal energy source (11) to power the emission of the broadcast signal and the preset period is longer than a duration during which the transaction is carried out.

Embodiments of the present disclosure relates to systems, a device, a server and methods for authenticating a user to access a resource. A method comprises the steps of transmitting, by a server, a message to a device associated with a user and transmitting instructions to the device to enter the message as an input on a user interface of the device. The method further comprises the step of receiving input through tracking of the user and without requiring the user to use the virtual/soft or hard keyboard of the device. The method also comprises the steps of determining if the input matches with the message and authenticating the user by granting access of the resource to the user if the input matches with the message.

The invention is a method for managing a payment transaction started as an EMVCo<®> transaction with a payment application (12) installed in a payment instrument (10) comprising a digital identity wallet (16) hosting an instant application (14). After transaction refusal, the issuer bank (30) sends to the terminal a configuration data requesting continuation by the instant application. The terminal sends to the issuer bank a terminal request (85) comprising a transaction identifier and a reference of a merchant account, and provides the payment instrument with the transaction identifier and the amount. The instant application sends to issuer bank an instant payment request (87) comprising a dynamic linking authenticator generated by the digital identity wallet. After both successfully verifying that the dynamic linking authenticator is valid and ensuring that the terminal request and the instant payment request are consistent, the issuer bank sends an instant payment order to the merchant bank.