Nagravision Sàrl

A data processing component includes a fault attack shielding and detection arrangement. Specifically, the data processing component includes a first layer and a second layer. The first layer includes a first data processing element, the first data processing element configured to receive a control input and to execute a predetermined operation on the control input to generate a control output; and a first comparator configured to compare the control output with an expected control output, and to generate a fault status signal if the control output is different from the expected control output. The second layer includes a second data processing element identical to the first data processing element, configured to receive a first operational input and to execute the same predetermined operation on the first operational input to generate a first operational output. The data processing component may include a computer processor.

A method, system, processing circuitry, and computer program product using tags associated with the items being sold that are readable by mobile devices of participants to the transfer. The tags include at least one of an asymmetric key and a shared symmetric key for signing responses indicating that the tag is in the presence of the transferrer.

A method for pairing a content provider system and a receiving device, a cryptographic function and a receiving device unique identifier being populated in the receiving device. According to such method, the receiving device executes: obtaining a first key which is a result of a first function taking as arguments an Identity Based Encryption scheme master key owned by an authority server and an output of the cryptographic function applied to the receiving device unique identifier; receiving, from the content provider system, a content provider unique identifier; and computing a secret key which is a result of a second function taking as operands the first key and an output of the cryptographic function applied to the content provider unique identifier, the secret key being known from the content provider system.

A device includes a device private key of a pair of public and private asymmetric keys. The method includes the steps, performed by the device of; receiving, from a credential provider, the device credentials in encrypted form; internally self-determining information about a current configuration of the device; generating a device attestation information based on the determined information about the current configuration of the device; generating a decryption key based on the device private key and the generated device attestation information; and decrypting the received device credentials in encrypted form with the decryption key to provision the device with the device credentials.

A method for training a machine learning model for locating an asset in an environment when the machine learning model is executed on a computer system, wherein the environment includes a plurality of zones. The method includes receiving data corresponding to first and second sets of training signals, wherein the first and second sets of training signals are received at a plurality of receivers, within first and second data collection periods, respectively, from a plurality of training tags located in first and second zones, respectively, of the plurality of zones. The plurality of training tags are moved from a first position in the first zone to a second position in the first zone within the first data collection period. The plurality of training tags are moved from a first position in the second zone to a second position in the second zone within the second data collection period. The method further includes generating, for the first and second zones, training data including values of the training signals received from training tags located in the first and second zones, respectively, within first and second respective predefined deviation windows (Wt and Wt′, respectively), within the first and second data collection periods, respectively, each value associated with the receiver at which a respective training signal was received. The method also includes training, using the training data for the first and second zones, a machine learning model to output a zone as a determined location of an asset in the environment based on an input including data corresponding to one or more signals received at one or more receivers from a tag associated with the asset.

A method, system, processing circuitry, and computer program product using clothing or human skin as a contact-based communications channel to thwart man-in-the-middle radio channel communications attacks by: sending a radio signal from a first transmitter to allow an unlockable device (e.g., a vehicle) to be unlocked; receiving by a controller of the unlockable device the radio signal from the first transmitter; sending, by the controller in response to receiving radio signal from the first transmitter, a contact-based signal to the contact-based receiver through physical contact of a human being between the contact-based receiver and the unlockable device; and sending a reply signal from a second transmitter to the controller in response to receiving the contact-based signal.

A method for training a machine learning model for locating an asset in an environment when the machine learning model is executed on a computer system. The method includes receiving data corresponding to a plurality of training signals. The plurality of training signals are received at a plurality of receivers from a plurality of training tags located in the environment. The environment has a plurality of zones, and each of the training tags is associated with a zone in which it is located. The method further includes generating training data for first and second zones of the plurality of zones, wherein the training data for the first and second zones includes values of the training signals received from training tags located in the first and second zones, respectively, each value associated with the receiver at which a respective training signal was received. The method further includes training, using the training data for the first and second zones, a machine learning model to output a zone as a determined location of an asset in the environment based on an input which includes data corresponding to one or more signals received at one or more receivers from a tag associated with the asset.

A method for tracking the processing of an initial digital asset according to at least one processing step delivering an output digital asset from an input digital asset that is a function of the initial digital asset. The method includes watermarking the output digital asset with a watermark, representative of an identifier of the output digital asset; and creating, in a blockchain, metadata associated with the output digital asset, the metadata being associated with the identifier.

A content owner registers with an identity authority by providing information about the content owner and a public key of a public/private key pair. The content owner registers content to the identity authority and signs the multiple segments of the content with the private key of the public/private key pair. A system that receives the signed content determines an indicated content owner of the received media content and communicates with the identity authority to confirm that the media content was produced by the indicated content owner. The receiving system requests the public key of the content owner from the identity authority and uses the public key to verify the signature of each media content segment. Accordingly, the receiving system is able to determine if the media content was manipulated after being distributed by the content owner.

A device for tracking an object, includes means for attaching to said object, a wireless communication circuit, at least two antenna modules having respective positions different from one another, and at least one processor configured to: select one of the at least two antenna modules based on information indicative of a best-oriented antenna module for wireless communication among the at least two antenna modules; transmit or receive one or more signals for tracking said object using the wireless communication circuit and the selected best-oriented antenna module.