Abb Schweiz Ag

Hitachi Energy Ltd

Dfinity Stiftung

Abb Research Ltd.

Hitachi Energy Switzerland Ag

Abb Scheiz Ag

Yvonne-Anne Pignolet

Thomas R Locher

Sebastian Obermeier

Matus Harvan

Johannes Schneider

Carsten Franke

Jan Leonard Camenisch

Thanikesavan Sivanthi

Manu Drijvers

Johan Granström

Gregory Neven

Dacfey Dzung

Dominic Williams

Theo Widmer

Ettore Ferranti

Sandro Schoenborn

David Kozhaya

Raphael Eidenbenz

Roman Kashitsyn

Stefan Kaestle

Johan GRANSTRÖM

A method for offering data with objects to be performed on the basis of the data, providing solutions to the problems and verifying the provided solutions. The method including the steps of providing a digital platform; uploading the data with the object as challenge to the platform; uploading a smart contract relating to the challenge to the platform; transferring the challenge from the platform to at least one solution provider; uploading a signed hash of the solution provider's solution of the challenge to the platform; uploading the solution provider's solution of the challenge to the platform; and evaluating at the platform the uploaded solution based on predefined conditions.

Verifiable analytics platform with smart contracts

A method for adjusting electrical energy flow schedules of a utility handling a plurality of distributed energy resources. The method comprising the steps of providing information regarding energy flow of the energy resources and storing said information on a distributed ledger; transferring energy schedules from the utility to the distributed ledger; transferring said information regarding the energy flow and the energy schedules from the distributed ledger to a computing means and computing proposed corrections for the energy schedules; transferring said proposed correction to the distributed ledger; transferring said proposed correction to the utility which decides to use or not to use the proposed correction. By deciding to use the proposed correction, the schedules are corrected and information is transferred from the utility to the computing means.

Method and system for decentralized energy forecasting and scheduling

Embodiments of the invention relate to a computer-implemented method for generating verification keys of a public-key signature scheme in a distributed network. The method comprises performing, by a subset of the nodes of a first subnetwork of nodes, a first distributed key generation protocol, the first distributed key generation protocol being configured to generate jointly a verification key for the first subnetwork and a plurality of corresponding secret key shares for the nodes of the first subnetwork. The method further comprises a step of performing, for a second subnetwork, by a subset of the plurality of nodes of the first subnetwork, a second distributed key generation protocol, the second distributed key generation protocol being configured to generate jointly a verification key of the second subnetwork and a plurality of corresponding secret key shares for the nodes of the second subnetwork. A further step comprises signing, by a subset of the nodes of the first subnetwork, the verification key of the second subnetwork with a permissible subset of the secret key shares of the nodes of the first subnetwork, thereby generating a joint signature on the verification key of the second subnetwork. Further aspects relate to a distributed network, a node of a distributed network and corresponding computer program products.

Verification key generation in distributed networks

Embodiments of the invention relate to a distributed network. The distributed network comprises a replicated computing cluster and the replicated computing cluster comprises a plurality of nodes. Each of the plurality of nodes of the replicated computing cluster is configured to run a replica and each of the replicas is configured to run one or more computational units. Furthermore, each of the replicas is configured to perform consecutive processing rounds. The consecutive processing rounds comprise a consecutive processing of input blocks in a deterministic and replicated manner and thereby a sequence of round states is computed. Each of the replicas is further configured to perform software upgrades of the replica at handover states of pre-agreed handover rounds of the consecutive processing rounds and to provide, upon request of another replica, via a communication interface that is independent of the software upgrades, a handover package. The handover package is configured to enable an obtainment of the handover state.

Update software replica in a distributed system

To facilitate storage of data from plural data sources of an industrial automation control system, power distribution system or power generation system, a decision making device executes a machine learning algorithm to determine a compression technique in dependence on the data source from which data originates.

Method and device for facilitating storage of data from an industrial automation control system or power system

A method for evaluating data is based on a computational model, the computational model comprising model data, a training function and a prediction function. The method includes training the computational model by: receiving training data and training result data for training the computational model, and computing the model data from the training data and the training result data with the training function. The method includes predicting result data by: receiving field data for predicting result data; and computing the result data from the field data and the model data with the prediction function. The training data may be plaintext and the training result data may be encrypted with a homomorphic encryption algorithm, wherein the model data may be computed in encrypted form from the training data and the encrypted training result data with the training function. The field data may be plaintext, wherein the result data may be computed in encrypted form from the field data and the encrypted model data with the prediction function.

Machine learning based on homomorphic encryption

The invention relates to a method and system for detecting and mitigating cabling issues with devices connected in industrial redundant networks. An agent runs on each device and generates information about traffic received at the corresponding device. The agent running on a node generates indicators of traffic received at each port, and error rates for traffic at each port. The agent running on a switch generates information about switch misconfiguration by collecting device identifiers for each port of the switch. The agents send the information to a network manager, which determines switch misconfigurations and wrong cabling from the received information. The network manager also mitigates cabling issues by sending a signal to the affected device(s) or sending a communication to mitigate the issue.

Method and system for detecting and mitigating cabling issues with devices in substation automation systems

The application relates to a method for computing a probabilistic encryption scheme for encrypting a data item in an electronic device including: computing a plurality of random bit strings in a computation cluster; sending the computed plurality of random strings to the electronic device; generating a random string (r) for using in the encryption scheme in the electronic device using a subset of the plurality of the random strings computed in the computation cluster and encrypting the data item using the random string computed in the electronic device. The present application also relates to a corresponding system and corresponding computer program product including one or more computer readable media having computer executable instructions for performing the steps of the method.

Encryption for low-end devices through computation offloading

A method of automatically generating secure code includes: receiving source code and security constraints for the source code, the security constraints encoding, to what extend a variable in the source code is considered secure; and generating secure code from the source code and the security constraints by replacing non-secure operations in the source code, which operate on the variables considered as secure, with secure operations; wherein a secure operation is an operation, which, when applied to at least one encrypted variable, generates an encrypted result, which, when decrypted, is the result of the non-secure operation applied to the not encrypted variable.

Secure code optimization method and system

The invention relates to a method for storing data blocks from client devices to a cloud storage system, the method includes the steps of: d) storing an encrypted first data block and a challenge of the first data block of a first client device on the cloud storage system, e) determining if a hash of a second data block of a second client device stored on the cloud storage system equals the hash of the first data block, f) if yes, transmitting the challenge of the first data block from the cloud storage system to the second client device, g) extracting, at the second client device, the bits at the positions or at the range contained in the challenge, hashing the extracted bits, encrypting the hashed bits with a public key of the first client device or of the second client device and uploading the encrypted bits from the second client device to the cloud storage system, and h) storing the encrypted bits from the second client device on the cloud storage system.

Method for storing data blocks from client devices to a cloud storage system

The application relates to a method for aggregation of a performance indicator of a device including: concatenating a respective first data item to a plurality of second data items in the device; encrypting the plurality of concatenated second data items relevant for computing the performance indicator using a first encryption key in the device, wherein the first encryption key is based on an additive homomorphic encryption scheme; sending the encrypted concatenated second data items to a computation cluster; computing the performance indicator on the computation cluster using the encrypted concatenated second data items and computing an aggregate value regarding the performance indicator by summing up the encrypted concatenated second data items; sending the aggregate value to a server of a service provider of the device; decrypting the aggregate value using a second encryption key on the server of the service provider; and verifying the decrypted result by checking whether the decrypted sum computed by summing up the encrypted concatenated second data items comprises a predetermined value. The present application also relates to a corresponding system and corresponding computer program product including one or more computer readable media having computer executable instructions for performing the steps of the method.

Secure remote aggregation

The present disclosure encompasses establishing and maintaining a routing protocol based on a measured link metric p, such as for a smart grid communication system. A link between a first node such as a router A and a neighbouring second node B of a communication path from a source to a destination in a packet oriented communication network is selected wherein the two nodes are connected via first and second communication links. An updated link metric p(t+1) at a point in time t+1 of the first communication link is determined. The first or the second communication link is selected for transmitting a further packet from node A to node B by comparing the updated link metric p(t+1) to a threshold p.

Growing community of inventors

Zurich, Switzerland

Yvonne-Anne Pignolet