According to an embodiment of a first aspect of the invention, there is a distributed network comprising a plurality of network nodes. Each of the plurality of network nodes is linked to a first node identity of a plurality of first node identities. Each of the plurality of first node identities comprises a first verification key of a public-key signature scheme. The distributed network is configured to perform a key shuffling step adapted to perform an unlinkable one-to-one mapping between the plurality of first node identities and a plurality of second node identities. Each of the plurality of second node identities comprises a second verification key of a public-key signature scheme. The distributed network is configured to perform a consensus protocol with a subset of the plurality of second node identities. Further aspects of the invention relate to a corresponding computer-implemented method, a network node and a computer program product.

Methods, systems, and apparatus, including a method for preventing fraud. In some aspects, a method includes: receiving, from multiple client devices, a measurement data element that includes a respective group member key and a group identifier for a given conversion as a result of displaying a digital component. Each client device uses a threshold encryption scheme to generate, based at least on network data that includes one or more of impression data or conversion data for the conversion, a group key that defines a secret for encrypting the network data and generate, based on data related to the application, the respective group member key that includes a respective share of the secret. In response to determining that at least the threshold number of measurement data elements having the same group identifier have been received, the network data is decrypted using the group member keys in the received measurement data elements.

An issuing entity for issuing electronic coin data sets in a payment system, includes a coin generating unit, which is designed to generate an electronic coin data set, and a coin output unit, which is designed to obtain the electronic coin data set generated by the coin generating unit and output the electronic coin data set to a participating unit or to a bank entity of the payment system in electronic form. The issuing entity is designed such that the electronic coin data set is transmitted between the coin generating unit and the coin output unit via an air gap process. An issuing method and a payment system adopt features of the issuing entity.

An electronic key pre-distribution device for configuring multiple network nodes with local key information is provided. The key pre-distribution device applies at least a first hash function and a second hash function to a digital identifier of a network node. The first and second hash functions map the digital identifier to a first public point and a second public point on a first elliptic curve and second elliptic curve. A first and second secret isogeny are applied to the first and second public elliptic curve points, to obtain a first private elliptic curve point and second private elliptic curve point that are part of private key material for the network node.

Methods, systems, and computer-readable storage media for receiving an index and a random number from a verifier, receiving, from a shared data storage, encrypted supply chain data (SCD) of a supply chain actor (SCA), re-encrypting the encrypted SCD to provide re-encrypted SCD using a public encryption key of a decryption party, executing homomorphic operations on the re-encrypted SCD to provide an encrypted blinded result using second random numbers, receiving an encrypted modified blinded result, generating an encrypted blinded verification result using a verification function, the encrypted blinded result, the encrypted modified blinded result, and the random number, and sending the encrypted blinded verification result for decryption to provide a blinded verification result to the verifier, the verifier determining a verification result based on the blinded verification result and the random number, and comparing the verification result to a product claim.

This disclosure relates to a method for anonymous attestation that includes receiving, by an application running on a client device and from a first content provider, an authentication request to authenticate a user to receive content from a second domain of a second content provider, redeeming, with an attestation token issuing system that issued an anonymous attestation token attesting to the user's authentication to the second content provider, the anonymous attestation token by transmitting the anonymous attestation token with a second request, receiving a redemption result representing whether the attestation token was successfully redeemed, signed by the attestation token issuing system using a digital signature and is operable to verify, to the second content provider, that the user is authenticated to the second content provider without identifying the user to the second content provider, and transmitting, to the first content provider, the redemption result.

The invention provides a novel and unique system and method for cross channel in-vehicle identification of media, source, and consumption measurement and analysis. Real-time measurement and analysis of all applicable forms of media that a driver or passenger may consume inside of an automobile can be achieved. This includes AM/FM radio, Satellite Digital Audio Radio Service (SDARS), stored media such as CDs, MP3s & DVDs, streaming media, internet radio, audio books, podcasts, text-to-speech content, use of hands-free calling and other forms of audio, including content routed to the In Vehicle Entertainment (IVE) system through integration with a smartphone, media player or similar external Consumer Electronic (CE) device via wired or wireless connectivity, including but not limited to USB, Bluetooth, Wi-Fi, and the like, and also including integration platforms such as APPLE CARPLAY, GOOGLE ANDROID AUTO, HARMAN AHA RADIO, PANASONIC AUPEO, PIONEER ZYPR, FORD SYNC, MIRRORLINK, AIRBIQUITY CHOREO, and the like.

A mechanism by which a secure, privacy preserving query system may be constructed from blockchain technology is disclosed. This system operates on the local differential privacy model through random responses using a private weighted coin protocol. The system specified allows for the ejection of malicious and/or non-interactive participants, minimizes blockchain storage size, and provides a mechanism for forward secrecy. The system specification uses a distributed random beacon to provide a public source of randomness. This randomness is utilized to perform random subset selection from a publicly known list of participating entities. The system uses a homomorphic self-tallying voting protocol under homomorphic encryption to further ensure participant privacy.

An authenticated, ID-based private/public key pair, with a self-certified public key, is generated using Kummer arithmetic without bilinear pairings. Two or more parties can generate such key pairs and use them as their respective long-term key pairs which, when combined with the parties' short-term key pairs, can allow the parties to establish an authenticated, short-term shared key. Some embodiments are suitable for connected vehicles communicating with each other and/or with other systems. Other features are also provided.

A system and methods are disclosed that enable advertisers, publishers, and consumers to interact to provide well-targeted advertisement impressions, while preserving consumer privacy. Particularly, the system and methods enable accurate and reliable targeting of advertisements without the need for privacy-invasive tracking and collection of consumer information by advertisers or publishers. Instead, the consumer retains complete control of his or her own private information, even while that private information is used for programmatic targeting of advertisements. The system and methods disclosed herein advantageously utilize blockchain as a tool for arbitrating data, which accounts for and helps to eliminate fraud, costly arbitrage, and brand safety concerns by providing the programmatic advertising ecosystem with trust, permanence, transparency, and auditability.