Abstract: Methods and apparatus are disclosed for attesting integrity of a program. A method may comprise: sending to a second device a first request for validating integrity of a program on the second device; receiving a first response from the second device, wherein the first response comprises information regarding one or more tags collected during operation of the program; and attesting integrity of the program based on the first response and an expected response.

Abstract: The present disclosure discloses a distributed consensus algorithm and apparatus for rapidly generating a block. The algorithm includes: broadcasting a new transaction to all nodes (S110); collecting, by each of the nodes, the new transaction into a block (S120); evaluating a trust value of each of the nodes to obtain an evaluation result (S130); selecting honest miners according to the evaluation result (S140); obtaining negotiation rules (S150); creating, by the honest miners, a new block according to the negotiation rules, and broadcasting the new block to all the nodes (S160); and when all transactions in the nodes are valid but do not take effect, receiving the new block and adding the new block to a blockchain (S170).

Abstract: Methods and apparatus are disclosed for attesting integrity of a program. A method may comprise: sending to a second device a first request for validating integrity of a program on the second device; receiving a first response from the second device, wherein the first response comprises information regarding one or more tags collected during operation of the program; and attesting integrity of the program based on the first response and an expected response.

Abstract: The present disclosure discloses a distributed consensus algorithm and apparatus for rapidly generating a block. The algorithm includes: broadcasting a new transaction to all nodes (S110); collecting, by each of the nodes, the new transaction into a block (S120); evaluating a trust value of each of the nodes to obtain an evaluation result (S130); selecting honest miners according to the evaluation result (S140); obtaining negotiation rules (S150); creating, by the honest miners, a new block according to the negotiation rules, and broadcasting the new block to all the nodes (S160); and when all transactions in the nodes are valid but do not take effect, receiving the new block and adding the new block to a blockchain (S170).

Abstract: A method for integrity auditing is provided. The method comprises: generate a challenge message for verifying data integrity of a file stored at a storage server (510); send the challenge message to the storage server (520); receive, from the storage server, a proof on the data integrity of the file, the proof being generated based on the challenge message (530); verify the data integrity of the file by verifying validity of the proof (540). In this way, integrity auditing for multi-copy storage can be enabled, where the overhead in updating data is independent of the number of copies of the data.

Abstract: Embodiments of the present disclosure relate to identifying collusive attackers in mobile crowdsourcing. According to embodiments of the present disclosure, the crowdsourcing behaviors of each device is abstracted as a binary variable and the similarity between any two device is measured, which result in less complex and lightweight in mathematical computation.

Abstract: A system and method for securely defensing against a collusion attack under Internet of Vehicles (IoV) are provided. The present disclosure can repair a vulnerability, of a reputation system in the IoV, that the IOC attackers can manipulate a traffic-related message aggregation model (TMAM) by increasing their own reputation scores in an inside-and-outside collusion (IOC) manner. In addition, the present disclosure can detect IOC attacks quickly to improve the security of the IoV; can eliminate suspicious providers recursively and provide a reputation fluctuation association rule, to avoid overload of the TMAM; and can deprive IOC attackers of the opportunity to improve their reputation scores and ensure credible information in the IoV, to ensure the fairness and availability of the TMAM without the interference from the IOC attackers.

Abstract: According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to process a time series of location information elements, indicating a series of past locations of the apparatus, for input to an input layer of an artificial neural network, provide the processed time series of location information elements to the input layer of the artificial neural network, to obtain as output of the artificial neural network a predicted current location of the apparatus, and provide the predicted current location of the apparatus to a network entity as a current location of the apparatus.

Abstract: A method comprises: receiving, by a second node, a new transaction to be recorded to a block in a blockchain (510), determining, by the second node, based on an identity of the block that the second node is one of a subset of block managers in the blockchain to store the block (520), adding the block to the blockchain responsive to the determination (530) and transmitting a block list, wherein the block list comprises information about the block (540).

Abstract: Described herein are a process for the preparation of poly(ester urea) microcapsules, and such poly(ester urea) microcapsules. Perfuming compositions and consumer products including such microcapsules, in particular perfumed consumer products in the form of home care or personal care products, are also described.

Abstract: Described herein are a process for the preparation of a microcapsule slurry, and the microcapsule slurry. Perfuming compositions and consumer products including the microcapsule slurry, in particular perfumed consumer products in the form of home care or personal care products, are also described.

Abstract: Methods and apparatus are disclosed for attesting physical attacks. A method may comprise: receiving a heartbeat message from a neighbor device at a periodic interval, wherein the heartbeat message is encrypted with a session key of the neighbor device for a current interval, and comprises a key material for updating the session key of the neighbor device for a next interval; and decrypting the received first heartbeat message based at least part on a session key of the first device for the current interval; and el determining whether the neighbor device is physically compromised at least based on the heartbeat message. The periodic interval is set to be smaller than a minimum time of a physical attack on the neighbor device.

Abstract: An apparatus comprising at least one processing core (310), at least one memory (320) including computer program code, the at least one memory (320) and the computer program code being configured to, with the at least one processing core (310), cause the apparatus at least to generate a set of three permutation matrices {P, Q and R}(510), apply the set of permutation matrices on a data matrix V and matrices W1 and H1, wherein matrices W1 and H1 comprise only non-negative elements, such that: elements aa, bb and cc, and provide matrices dd, ee and ff to a server for processing (530).

Abstract: Methods and apparatus are disclosed for attesting integrity of a program. A method may comprise: sending to a second device a first request for validating integrity of a program on the second device; receiving a first response from the second device, wherein the first response comprises information regarding one or more tags collected during operation of the program; and attesting integrity of the program based on the first response and an expected response.

Abstract: The present disclosure relates to a remote attestation in a network. Embodiments provide a method comprising: attesting a first node in a network, by a node adjacent to the first node in the network; and generating an attestation result of the first node. A plurality of attestation results of the first node generated by a plurality of nodes adjacent to the first node in the network are combined to determine a credibility of the first node. In such embodiments, a fixed verifier for other nodes is eliminated, and a risk of a collapse due to a failure of such fixed verifier may be avoided.

Abstract: The present invention involves a method for distributed dynamic spectrum allocation performed by a source device and the source device, a method for dynamic spectrum allocation performed by a power node and the power node, the method including sending to appropriate power nodes a query message indicating that the source device requests to find an idle licensed spectrum; receiving from the appropriate power nodes a query response message indicating licensed spectrums; and determining whether the licensed spectrums are idle and selecting an idle licensed spectrum from the licensed spectrums to be used. In this way, the provided method may implement distributed dynamic spectrum allocation without using a central authority.

Abstract: The present invention involves a method for distributed dynamic spectrum allocation performed by a source device and the source device, a method for dynamic spectrum allocation performed by a power node and the power node, the method including sending to appropriate power nodes a query message indicating that the source device requests to find an idle licensed spectrum; receiving from the appropriate power nodes a query response message indicating licensed spectrums; and determining whether the licensed spectrums are idle and selecting an idle licensed spectrum from the licensed spectrums to be used. In this way, the provided method may implement distributed dynamic spectrum allocation without using a central authority.

Abstract: Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.

Abstract: Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.

Abstract: Symptoms and methods for predicting the incidence of a disease or disorder are disclosed. A system for predicting the incidence of a disease or disorder includes a web-based symptom checker for producing a structured dataset, a data analysis component for producing a multivariate dataset from the structured dataset, and a feature construction component for producing a linear combination of orthogonal symbols representative of a disease or disorder. A method for predicting the incidence of a disease or disorder includes producing a multivariate dataset representing patient symptom counts, performing feature construction analysis on the multivariate dataset, creating a time series model using weekly illness incidence data, and applying the time series model to new illness incidence data to predict the incidence of a disease or disorder in the future.