Abstract: An example operation may include one or more of receiving a unique identifier of a blockchain system resource from among a plurality of blockchain system resources associated with a blockchain, generating a notification board for the blockchain which is implemented independently from the blockchain and stored on a distributed ledger including the blockchain, and storing the unique identifier of the blockchain resource and a blockchain ID within the notification board on the distributed ledger.

Abstract: An example operation may include one or more of receiving a blockchain request from a client application in a blockchain network, receiving validity information of a timestamp included in the blockchain request from one or more endorsing nodes in the blockchain network, modifying the timestamp included in the blockchain request based on the validity information received from the one or more endorsing nodes, ordering the blockchain request among a group of blockchain requests based on the modified timestamp with respect to timestamps of other blockchain requests in the group, and storing the ordered group of blockchain requests within a data block among a hash-linked chain of data blocks.

Abstract: Smart contract code is verified by storing smart contract code, identifying a type system for verifying a determinism of the smart contract code based on a first set of security-level values and a second set of security level values, and verifying the determinism of the smart contract code by taking the first set of security-level values as deterministic values and the second set of security level values as non-deterministic values.

Abstract: An example operation may include one or more of receiving a blockchain request from a client application, determining a network latency between the client application and the endorsing node based on a network path between the client application and the endorsing node, extracting a timestamp from the blockchain request, determining whether the extracted timestamp is invalid based on the network latency between the client application and the endorsing node, and in response to determining that the timestamp is valid, generating an endorsement for the blockchain request and transmitting the endorsement to the client application.

Abstract: A mechanism is provided to improve the availability of an ICS and an external system that uses data from the ICS by ensuring operation of the ICS and operation of the system even if an anomaly has occurred in a device in the ICS. The mechanism receives measured data from the plurality of devices, calculates prediction data by using the measured data and correlation information used for deriving prediction data for correlated devices, and provides the measured data and the prediction data.

Abstract: An example operation may include one or more of receiving a uniform resource indicator (URI) of a blockchain peer node that has access to a blockchain distributed among a plurality of blockchain peer nodes, identifying blockchain channel identification information which identifies a unique channel name associated with the blockchain, generating a blockchain-based URI that includes an identification of the URI of the blockchain peer node and the channel name associated with the blockchain, and storing the generated blockchain-based URI on a distributed ledger.

Abstract: An example operation may include one or more of receiving a resource request from a client, identifying a unique chaincode identifier associated with the resource request, re-instantiating a version of chaincode based on the unique chaincode identifier, the re-instantiation configured to disregard any subsequently implemented versions of the chaincode at the computing node, executing the resource request based on the re-instantiated version of the chaincode to generate a result, and transmitting the result to the client.

Abstract: An example operation may include one or more of receiving a blockchain request from a client application, determining a network latency between the client application and the endorsing node based on a network path between the client application and the endorsing node, extracting a timestamp from the blockchain request, determining whether the extracted timestamp is invalid based on the network latency between the client application and the endorsing node, and in response to determining that the timestamp is valid, generating an endorsement for the blockchain request and transmitting the endorsement to the client application.

Abstract: An example operation may include one or more of receiving a blockchain request comprising a timestamp added by one or more endorsing nodes included within a blockchain network, identifying that the timestamp added by an endorsing node from among the one or more endorsing nodes is a modification to a previously added timestamp provided by the computing node, determining a reputation value for the endorsing node based on a difference between the timestamp added by the endorsing node and the previously added timestamp provided by the computing node, and transmitting the determined reputation value of the endorsing node to an ordering node within the blockchain network.

Abstract: An example operation may include one or more of receiving a unique identifier of a blockchain system resource from among a plurality of blockchain system resources associated with a blockchain, generating a notification board for the blockchain which is implemented independently from the blockchain and stored on a distributed ledger including the blockchain, and storing the unique identifier of the blockchain resource and a blockchain ID within the notification board on the distributed ledger.

Abstract: An example operation may include one or more of receiving a blockchain request from a client application in a blockchain network, receiving validity information of a timestamp included in the blockchain request from one or more endorsing nodes in the blockchain network, modifying the timestamp included in the blockchain request based on the validity information received from the one or more endorsing nodes, ordering the blockchain request among a group of blockchain requests based on the modified timestamp with respect to timestamps of other blockchain requests in the group, and storing the ordered group of blockchain requests within a data block among a hash-linked chain of data blocks.

Abstract: An example operation may include one or more of receiving a blockchain request from a client application, determining a network latency between the client application and the endorsing node based on a network path between the client application and the endorsing node, extracting a timestamp from the blockchain request, determining whether the extracted timestamp is invalid based on the network latency between the client application and the endorsing node, and in response to determining that the timestamp is valid, generating an endorsement for the blockchain request and transmitting the endorsement to the client application.

Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.

Abstract: A computer implemented method, a program, and a system for effectively providing versatile non-text information suitable for use in a multi-language environment. The method includes the steps of: receiving search results of a database using a search criterion in a certain language and a search criterion in another language corresponding to the search criterion in which specific language attributes are associated with non-text elements that are included in the search results; scoring the non-text elements included in the search results depending on a similarity to another element with which a different language attribute is associated; and identifying at least one of the non-text elements included in the search results on the basis of the scores.

Abstract: An information processing apparatus includes a clustering unit configured to read messages from a log and to classify the read messages into clusters according to similarities of the messages; a variable portion finding unit configured to find a portion variable between messages; an attribute determination unit configured to estimate and determine a confidential attribute of the variable portion by using predefined rule; and an attribute estimation unit configured to, in a case where there is a portion whose confidential attribute is undeterminable by using the rules, estimate the confidential attribute of the portion having the undeterminable confidential attribute with use of either a correspondence between appearance locations in the messages, or a co-appearance relation of a portion having a determined confidential attribute and the portion having the undeterminable confidential attribute.

Abstract: A method and an inspection apparatus for inspecting an information processing unit to which software update is applied. The apparatus includes a collection component configured to collect the behavior, for a plurality of times of software update, of the information processing unit to which one software update is applied. The apparatus also includes a determination component configured to compare the behavior collected for the plurality of times of software update to one another to determine whether the behavior of the information processing unit after the one software update is applied thereto is normal.

Abstract: In-development vulnerability response management, in one aspect, may detect a code instance that matches a vulnerability pattern; generate one or more hints associated with the code instance in response to the detecting; retrieve an action response to the code instance that matches a vulnerability pattern; and associate the retrieved action response with the code instance.

Abstract: Determining confidentiality of an office document shared by multiple organizations. Each block of a document data set is stored in association with confidentiality information indicating whether the block is confidential. The document data set is dividable into blocks each being a unit including properties evaluated as having a certain characteristic. A document data set targeted for the confidentiality determination is acquired, and it is determined whether a document data set, including a block similar to each block of the acquired document data set, is stored. If the document data set including the similar block is stored, it is determined whether the confidentiality information indicating that the block is confidential is assigned to the block of the acquired document data corresponding to the similar block. If the confidentiality information indicating that the block is confidential is assigned, the acquired document data set is determined as confidential.

Abstract: A computer implemented method, a program, and a system for effectively providing versatile non-text information suitable for use in a multi-language environment. The method includes the steps of: receiving search results of a database using a search criterion in a certain language and a search criterion in another language corresponding to the search criterion in which specific language attributes are associated with non-text elements that are included in the search results; scoring the non-text elements included in the search results depending on a similarity to another element with which a different language attribute is associated; and identifying at least one of the non-text elements included in the search results on the basis of the scores.

Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.