http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112512003-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W4-38 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W40-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04W40-10 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W12-122 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W4-38 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W12-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W40-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04W40-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2020-11-19^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-11-05^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-11-05^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112512003-B |
| titleOfInvention | A dynamic trust model based on long and short-term memory network in underwater acoustic sensor network |
| abstract | The invention discloses a dynamic trust model based on a long-short-term memory network in an underwater acoustic sensor network, which is used to identify malicious nodes in the network and ensure the accuracy of node monitoring data in water pollution monitoring applications. Collect the relevant information representing the communication behavior and communication capability between the sensor nodes; secondly, calculate the four-dimensional trust representing the reliability of the nodes, and construct the trust data set as the input of the LSTM network; The evaluation value can detect malicious sensor nodes in UASNs, effectively improve the security of network and node monitoring data, and can be deployed in water pollution monitoring applications to obtain more accurate and reliable water quality monitoring results. |
| priorityDate | 2020-11-19^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
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