METHOD AND SYSTEM FOR INCREMENTAL METAPATH STORAGE AND DYNAMIC MAINTENANCE

    公开(公告)号:US20240330369A1

    公开(公告)日:2024-10-03

    申请号:US18610495

    申请日:2024-03-20

    CPC classification number: G06F16/9024 G06F40/30

    Abstract: A method for incremental metapath storage and dynamic maintenance is provided, which includes, reformatting metapath instances, from a designated heterogeneous graph and of a designated metapath type, into path graphs; executing graph updating tasks and performing dynamic maintenance on the updated path graphs, traversing the path graph to obtain the location of metapath updates and update the path graph; for metapaths with length greater than 2 and with symmetrical central portion, central merge operation is performed to simplify path graph and perform subsequent restoration operation; and directly perform restoration operation on path graphs that do not meet the merging conditions. The present disclosure utilizes characteristics of graph update to obtain locality of metapath updates, and combines internal relationship characteristics of metapath instances to greatly speed up metapath generation and achieve real-time inference of dynamic heterogeneous graph models.

    SYSTEM AND METHOD FOR USER-CONTROLLABLE SHARING OF AUTHORIZATION FOR PRIVATE DATA

    公开(公告)号:US20230351035A1

    公开(公告)日:2023-11-02

    申请号:US17937995

    申请日:2022-10-04

    Abstract: The present invention relates to system and method for user-controllable sharing of authorization for private data, wherein the system at least comprises: a blockchain node, for recording and verifying transaction information and/or completing payment, a client, for encrypting a symmetric key into a re-encryption key to be sent to an IPFS node, so that after a re-encryption request it sends to the IPFS node is verified as valid, the client sends the symmetric key to a server; the IPFS node, for calling a zero-knowledge proof verification contract from the blockchain node in response to the re-encryption request from the client, and performing authorization and verification; a server, for sending first encrypted data involving user authorization to the IPFS node, and/or acquiring the symmetric key sent by the client and capable of decrypting authorization data. In the present invention, the control of authorized contents is transferred to the user from the service provider, enabling the user to control authorization. Besides, during authorization, authorization data contents, data flows and user behaviors are hidden, making use of the data protected from pry of service providers.

    METHOD AND SYSTEM FOR ROBUST, SEARCHABLE, SYMMETRICAL ENCRYPT ION

    公开(公告)号:US20220103340A1

    公开(公告)日:2022-03-31

    申请号:US17172145

    申请日:2021-02-10

    Abstract: The present invention relates to a method and a system for robust, searchable, symmetrical encryption, the method comprising: during initialization, having a retrieval server perform retrieval on stored ciphertext information according to a searchable ciphertext and retrieval trapdoor information (Cntupd, K, Locgrp) sent by a client, wherein, the retrieval server acquires a last received first ciphertext set Cnew from a ciphertext database CDB just before the present retrieval according to a retrieval key K and an encryption counter Cntupd sent by the client, acquiring a second ciphertext set Ccache in a retrieval request history from a cache ciphertext database GRP according to a cache ciphertext index Locgrp, and merging the first ciphertext set Cnew and the second ciphertext set Ccache to form a retrieval set , and sending it to the client for decryption. The present invention is able to improve retrieval performance of searchable symmetrical encryption algorithm with robust forward and backward secrecy and to make searchable symmetrical encryption algorithm more practical.

    EDGE-COMPUTING-ORIENTED CONSTRUCTION METHOD FOR CONTAINER MIRROR IMAGE

    公开(公告)号:US20210216583A1

    公开(公告)日:2021-07-15

    申请号:US17012392

    申请日:2020-09-04

    Abstract: The present invention relates to an edge-computing-oriented construction method for a container image, and the construction method for a container image at least comprising steps of: having an image reconstruction module reconstruct an old container image so as to obtain a new container image comprising an index and a set of spare files that correspond to each other, and having an image management module store the index and the spare files separately from each other in an image repository and a spare file storage module respectively; having a download engine module scrape the index from the image repository to a corresponding container in the edge end, so that a container instance service module conducts search in a local file sharing module according to configuration information contained in the index and thereby retrieves a local shared file corresponding to the configuration information, an image file consulting module is configured to download a default file from the spare file storage module that does not exist in the local shared file retrieved according to the configuration information, and a service processor uploads the local shared file and the default file recorded according to the configuration information to the image reconstruction module, so that to match and to generate the index.

    FPGA-BASED GRAPH DATA PROCESSING METHOD AND SYSTEM THEREOF

    公开(公告)号:US20200242072A1

    公开(公告)日:2020-07-30

    申请号:US16722082

    申请日:2019-12-20

    Abstract: An FPGA-based graph data processing method is provided for executing graph traversals on a graph having characteristics of a small-world network by using a first processor being a CPU and a second processor that is a FPGA and is in communicative connection with the first processor, wherein the first processor sends graph data to be traversed to the second processor, and obtains result data of the graph traversals from the second processor for result output after the second processor has completed the graph traversals of the graph data by executing level traversals, and the second processor comprises a sparsity processing module and a density processing module, the sparsity processing module operates in a beginning stage and/or an ending stage of the graph traversals, and the density processing module with a higher degree of parallelism than the sparsity processing module operates in the intermediate stage of the graph traversals.

    METHOD OF HYBRID SEARCHABLE ENCRYPTION AND SYSTEM USING THE SAME

    公开(公告)号:US20190229906A1

    公开(公告)日:2019-07-25

    申请号:US16207927

    申请日:2018-12-03

    Abstract: The present invention involves with a method of hybrid searchable encryption, involving using at least one first computing device that has a first processor configured to perform steps of: using a first symmetric key to encrypt data so as to obtain a data first ciphertext, using a second symmetric key to encrypt a keyword related to the data so as to obtain a searchable keyword first ciphertext that is related to the data first ciphertext, and saving the data first ciphertext and the keyword first ciphertext in a first memory of a first computing device; and using the first symmetric key to encrypt the keyword so as to generate a keyword second ciphertext, using a first public key to encrypt the keyword so as to obtain a searchable third keyword ciphertext related to the keyword second ciphertext, and sending the keyword second ciphertext and the searchable third keyword ciphertext to a second computing device; wherein the second computing device has a second processor that is configured to perform steps of: receiving the keyword second ciphertext and the searchable third keyword ciphertext from the first computing device and saving the two together with an identification of the first computing device relationally in a second memory of the second computing device.

    METHOD AND SYSTEM FOR AUTOMATIC DELETION OF INFORMATION BASED ON TIME SYNCHRONIZATION AND TRUSTED COUNTING

    公开(公告)号:US20240362251A1

    公开(公告)日:2024-10-31

    申请号:US18631790

    申请日:2024-04-10

    CPC classification number: G06F16/27

    Abstract: A method and system for automatic deletion of information based on time synchronization and trusted counting is provided, the method including: defining different data structures including configurations in a normalized manner; setting triggering conditions for automatic information deletion, including conditions for automatic deletion based on time synchronization and/or based on trusted counting; maintaining synchrony of the configurations across different domains; and after satisfying the triggering conditions, making an information source domain and/or an information propagation domain perform the automatic information deletion. Considering that existing data deletion mechanisms cannot delete information according to preset retention periods, the present application employs synchrony across system clocks to perform automatic deletion of authorization information under circulation after a certain time period, and further limits a circulation count for information of interest so as to ensure that the information and its copies are all deleted after reaching a preset maximum permittable circulation count.

    KNOWLEDGE-GRAPH EXTRAPOLATING METHOD AND SYSTEM BASED ON MULTI-LAYER PERCEPTION

    公开(公告)号:US20240086731A1

    公开(公告)日:2024-03-14

    申请号:US18154637

    申请日:2023-01-13

    CPC classification number: G06N5/022

    Abstract: The present invention relates to a knowledge-graph extrapolating method and system based on multi-layer perception, the method comprising: using relational graph convolutional network encoders to learn embedding representations, and capturing dynamic evolution of a fact; designing emerging task processing units to construct multiple layers of entity sets, and assigning a matching historical relevance; classifying prediction tasks into different reasoning scenes, and connecting them to the corresponding processing unit for partition of entity sets; and using a multi-class task solving method to acquire predicted probability distributions of target entities, and taking the highest one as a prediction answer, so as to accomplish extrapolation of a temporal knowledge graph, wherein the prediction tasks are classified into different reasoning scenes according to whether it contains any entity or relation that has never appeared historically. The knowledge-graph extrapolating system comprises a processor that can run program code information of the disclosed method.

    RELATION EXTRACTION SYSTEM AND METHOD ADAPTED TO FINANCIAL ENTITIES AND FUSED WITH PRIOR KNOWLEDGE

    公开(公告)号:US20240086650A1

    公开(公告)日:2024-03-14

    申请号:US18217207

    申请日:2023-06-30

    CPC classification number: G06F40/53 G06F40/295 G06F40/30

    Abstract: The present invention relates to a relation extraction system adapted to financial entities and fused with prior knowledge and a method thereof, the system at least comprising: a deep pretraining module, for training and generating a deep pretrained model for recognizing attributes of the financial entities; a keyword analyzing module, for extracting and outputting positional information and importance vectors of keywords in a Chinese finance-related text; an attention mechanism module, for encoding the positional information of the keywords to obtain attention masks, and inputting them with entity information into the deep pretrained model to acquire text feature vectors; and an optimal margin distribution model module, for predicting financial-entity relations based on the text feature vectors and the importance vectors. Aiming at low applicability of existing models to specific Chinese fields, the present invention obtains more accurate extraction results of entities and related features in Chinese finance-related texts.

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