Abstract: The present invention relates to a method of processing a transaction sent from a proof entity (1) connected to a verification entity (2); the proof entity (1) having at least one secret key and a candidate authentication data, the verification entity (2) having the hash value of a reference authentication data; the method comprising the steps of: (a) generation by data processing means (11) of the proof entity (1) of: a signature of the proof entity (1) from said secret key; a zero-knowledge proof of the fact that the candidate authentication data and the reference authentication data match; (b) transmission to the verification entity (2) of transaction data comprising at least: said signature of the proof entity (1); said zero-knowledge proof; (c) verification by the data processing means (21) of the verification entity (2) that said signature of the proof entity (1) and the zero-knowledge proof are valid; (d) processing said transaction.

Abstract: A method implemented in an integrated-circuit module including a processor accessing a non-volatile memory wherein execution-context-defining software applications to be executed by the processor for communication with a device are stored, and to access a volatile memory storing execution data of a software application currently being executed.

Abstract: Disclosed is a microcircuit card includes a module for identification within a mobile telephone network storing a first piece of data, and a memory module storing a second piece of data. wherein the first piece of data and the second piece of data comply with a predetermined rule. Also disclosed is a method for verifying this microcircuit card when the card is housed in an electronic device includes a step of verifying that the first piece of data and the second piece of data comply with a predetermined rule, as well as methods for personalizing the microcircuit card, the microcircuit card, and the electronic device are also described.

Abstract: The present invention concerns a method for learning the parameters of a convolutional neural network, CNN, for data classification, the method comprising the implementation of steps by data processing means (11a, 11 b, 11c) of at least one server (1a, 1b, 1c), of: (a1) Learning, from a base of already-classified confidential learning data, the parameters of a first CNN; (a2) Learning, from a base of already-classified public learning data, the parameters of a last fully-connected layer (FC) of a second CNN corresponding to the first CNN to which said fully-connected layer (FC) has been added. The present invention also concerns a method for classifying an input datum.

Abstract: A card (35) generates a dynamic security code for a card transaction, e.g. a card not present (CNP) transaction. The card (35) receives a request (83) to generate a dynamic security code from an electronic device (10) external to the card via an external card interface (330). The card (35) receives a message (87) comprising a time via the external card interface (330). The card (35) computes (89) the dynamic security code based on the time and a key (dCVV-key) stored at the card. The card (35) sends the dynamic security code (90) to the electronic device (10) via the external card interface (330) for display on a display (14) of the electronic device (10). The card (35) may determine (88) an authenticity of the message comprising the time.

Abstract: A method for the secure use of a first neural network on an input datum, the method including the implementation, by data processing device of a terminal, of the following steps: (a) constructing a second neural network corresponding to the first neural network, into which is inserted, at the input of a target layer of the first neural network, at least one auto-encoder neural network trained to add a parasitic noise to its input; (b) using the second neural network on the input datum.

Abstract: A method for cryptographic signature of a datum comprises determining: a signature point equal to the addition of elements equal to a derived first point and of number equal to a first scalar; a second scalar by subtracting, from the product of the first scalar and of a selected scalar, the product of a third and of a fourth scalar; another signature point equal to the addition of elements equal to a selected point and of number equal to the second scalar, and of elements equal to a derived second point and of number equal to the fourth scalar; and a signature portion based on a private key, on the first scalar, on a coordinate of the signature point and on the datum. The derived first and second point are respectively equal to the addition of elements equal to a generator point and of number equal to a fifth and to the third scalar.

Abstract: A computer-implemented method includes: establishing a connection between a user device of a user and a system onboard a vehicle being driven by the user; requesting access, through the established connection, to user information on the user device; in response to a grant of access, retrieving at least a portion of the user information from the user device, the portion of user information including a digital identification document of the user that had been issued by an entity after having vetted the user, the digital identification document including a digital biometric of the user as well as a digital watermark indicating the issuing entity; and retaining, on the system onboard the vehicle, data encoding the digital identification document of the user on the vehicle such that when the vehicle is inspected by a third-party agent, the digital identification document of the user is presented to the third-party agent.

Abstract: A post-quantum strong authentication scheme uses a reference PIN code stored in the memory of a personal object 1. A server generates a secret ss and a corresponding cipher ct using a key encapsulation mechanism, KEM, and a public key pk of the user, and then generates a cryptographic key ss' with a one-way function, OWF, applied to the secret. An access terminal 2 receives ss' and ct, and then obtains a PIN entered by the user, encrypts the PIN with ss?, and finally transmits the encrypted PIN cPIN and ct to the personal object 1. The personal object obtains ss through KEM decapsulation of ct and, with its private key sk, generates ss' with OWF, and uses it to decrypt cPIN. Verification thereof validates a first authentication factor. The personal object generates and then sends a confirmation Know(ss) of the secret to the server, validating a second authentication factor.

Abstract: A method for strong authentication of an individual by a server and a connected client device, the client device having a candidate biometric data of the individual and an image from an identity document representing at least one photograph of the individual and one optical reader data visible on the identity document. A cryptographic footprint includes extracting, by analysis of the acquired image and the optical reader data, calculating a first data decoded by application of a decoding process to the candidate information and to a first encoded data, such that the first decoded data matches first random data if the candidate information matches a reference information representative of the appearance of the photograph, verifying that a cryptographic footprint of a first concatenation of the extracted optical reader data and the decoded data coincides with the first cryptographic footprint, and a reference biometric data and the candidate biometric data match.

Abstract: A method for extracting a signature of a fingerprint shown on a source image is described. For this purpose, the source image is transformed into the frequency domain. One or more ridge frequencies are next determined by means of a convolutional neural network applied to said transformed image, n being an integer greater than or equal to 1. The source image is normalized in response to said n ridge frequencies determined. One or more signatures of said fingerprint are finally extracted from said n normalized images.

Abstract: A method for authentication or identification of an individual, comprising the implementation by data processing means (11) of a terminal (1) of the following steps: (a) Obtaining of a visible image, an infrared image and a depth image on each of which a biometric feature of said individual appears; (b) Selection of at least one of said visible images, infrared image and depth image depending on the ambient lighting conditions; (c) Detection of said biometric feature of the individual in each image selected; (d) Fusion of the biometric feature(s) detected; and, (e) Authentication or identification of said individual on the basis of the result of the fusion of the biometric feature(s) detected.

Abstract: A dermatoglyph detector includes a detection circuit and an electronic processor unit. The detection circuit includes an electrically conductive thin film in which there are formed both electrodes that are arranged to come into contact with the skin of a portion of a human body and also conductive tracks connecting the electrodes to the processor unit. The processor unit is arranged to determine electrical characteristics of the body portion extending between each pair of electrodes in contact with the skin, and to execute a computer program for acting on the basis of the determined electrical characteristics to distinguish between an authentic body portion and a fake body portion. The detection circuit includes at least two track segments of different shapes between two calibration terminals so as to present an impedance ratio that is not equal to unity.

Abstract: A method for matching an image of a palm of an individual with at least one image from a plurality of reference palm images, which includes: creation of a reference base from the plurality of reference palm images comprising, for each reference palm image, a selection of at least one reference palm region and a coding into a reference regional biometric information item, determination of an individual palmary biometric information item from the image of the palm of the individual comprising a selection of at least one individual palm region and the coding thereof into individual regional biometric information item, for each image, comparison of each individual regional biometric information item with each reference regional biometric information item, and matching of the image of the palm of the individual with at least one image from the plurality of reference palm images, as a function of a result of the comparison.

Abstract: Provided herein are systems and methods for implementing a video surveillance system. In one or more examples, the improved system can include a video managing system that applies one or more watchlists, to video footage captured by surveillance cameras to apply one or more processing policies indicated by the one or more watchlists. In some embodiments, a watchlist may indicate a plurality of events of interest (e.g., specific classes of objects, a presence of one or more persons, or one or more persons of interest, etc.) that should be detected from video footage. Through these mechanisms, video processing can be increased since the types of events of interest that need to be detected within the video footage are reduced. Non-transitory storage requirements are reduced, and human labor requirements to monitor, analyze, and review video surveillance footage is reduced.

Abstract: A method of radio communication of a slave device with a master device, the method comprising steps of: receiving (202) by the slave device of a connection request sent by the master device comprising first communication parameters for communicating with the master device, the communication parameters being indicative of a sequence of frequency channels to be used during successive periods to communicate with the master device, during one of the periods, implementing by the slave device of a processing capable of causing the master device to send a connection update comprising second parameters for communicating with the master device to be used in place of the first communication parameters, the processing comprising an action (210) on one of the frequency channels capable of causing the master device to detect a degradation in communication quality on the frequency channel.

Abstract: A method of authenticating an identity document based on an extraction, by analysis of an image acquired of the identity document, of candidate information representative of the appearance of a photograph such as depicted in the acquired image and optically readable data as depicted in the acquired image.

Abstract: A method for secure use of a first neural network on an input datum, the method comprising implementing, by data processing circuitry of a terminal: (a) constructing a second neural network which corresponds to the first neural network and receives at least one convolutional neural network approximating the identity function, (b) using the second neural network on the input datum. Further including a method for training parameters of the second neural network.

Abstract: An optical device and to a corresponding manufacturing process, the device including a textured layer including, on its surface, first macro-textures; and a carrier including, on its surface, a holographic layer intermediate between the textured layer and the carrier. The holographic layer includes a diffraction grating forming, via a holographic effect, an arrangement of pixels in a basis of at least two distinct colours. The textured layer is assembled by lamination with the carrier so that the holographic layer, placed between the textured layer and the carrier, is deformed by the first macro-textures so as to include second macro-textures conformal with the first macro-textures, the visual appearance of the arrangement of pixels being personalized via the second macro-textures.

Abstract: A method and system for authenticating a user based on a human-recognizable visual representation of biometric data of the user is captured using the digital camera, wherein a biometric feature descriptor is generated from the captured biometric data of the user, and the feature descriptor, together with a user selected user profile, is transmitted to an inspection server adapted for validating whether the transmitted biometric feature descriptor corresponds to a centrally stored biometric feature descriptor of biometric data of the user. If this is the case, the inspection server transmits an “authentication approved” signal together with user personalization data specified in the selected user profile to the inspection terminal.