Irvine, California
United States
25
2021-08-19
The entities that hold a legal rights for patent applications filed by inventor Permeh Ryan:
Ryan Permeh from Irvine, US has applied for patents for these inventions. The list has both pending applications and granted patents:
Machine learning model for analysis of instruction sequences
#2 | 2019-06-20Machine learning model for malware dynamic analysis
#3 | 2019-06-20Application execution control utilizing ensemble machine learning for discernment
#4 | 2019-05-23Malware detection
#5 | 2018-11-08Machine learning model for malware dynamic analysis
#6 | 2018-07-19Advanced malware classification
#7 | 2018-06-07Isolating data for analysis to avoid malicious attacks
#8 | 2018-06-07Static feature extraction from structured files
#9 | 2018-03-15Training a machine learning model for analysis of instruction sequences
#10 | 2018-03-15Machine learning model for analysis of instruction sequences
#11 | 2018-03-01Container file analysis using machine learning model
#12 | 2018-03-01Automated systems and methods for generative multimodel multiclass classification and similarity analysis using machine learning
#13 | 2018-03-01Training a machine learning model for container file analysis
#14 | 2017-08-31Retention and accessibility of data characterizing events on an endpoint computer
#15 | 2017-08-31Retention and accessibility of data characterizing events on an endpoint computer
#16 | 2017-08-31Sub-execution environment controller
#17 | 2017-08-31Isolating data for analysis to avoid malicious attacks
#18 | 2017-06-06Native service controller
#19 | 2017-01-19Malware detection
#20 | 2016-12-01Recurrent neural networks for malware analysis
#21 | 2016-10-20Recurrent neural networks for malware analysis
#22 | 2016-08-25Static feature extraction from structured files
#23 | 2016-02-16Static feature extraction from structured files
#24 | 2015-08-13Application execution control utilizing ensemble machine learning for discernment
#25 | 2014-12-25Automated System For Generative Multimodel Multiclass Classification And Similarity Analysis Using Machine Learning
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