http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11509668-B2

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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L9-40
filingDate 2020-03-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cb084803b30cfe24bf047799563eb941
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_96d60e0f4f5679d903313c4dcc2d8cdf
publicationDate 2022-11-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-11509668-B2
titleOfInvention Systems and methods for device fingerprinting
abstract Systems and methods to reverse-predict a MAC address associated with a computing device are described. In one embodiment, first temporal communication data associated with the computing device is accessed for a first time interval. The first temporal communication data is converted into a first image. Second temporal communication data associated with the computing device is accessed for a second time interval. The second temporal communication data is converted into a second image. An image ensemble including the first image and the second image is analyzed using a neural network. Each image in the image ensemble is converted from temporal communication data associated with the computing device. The neural network learns a temporal pattern associated with the image ensemble. Current temporal communication data associated with the computing device is accessed and converted into a current image. The current image is compared with the temporal pattern. A MAC address associated with the computing device is reverse-predicted responsive to the comparison.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023252118-A1
priorityDate 2020-03-04-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 28.