![]() ![]() 238000004422 calculation algorithm Methods 0.000 claims description 14.238000001514 detection method Methods 0.000 claims abstract description 42.230000002265 prevention Effects 0.000 title abstract description 20.238000010801 machine learning Methods 0.000 title claims abstract description 166.Assignors: SYMANTEC CORPORATION Status Active legal-status Critical Current Adjusted expiration legal-status Critical Links ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Application granted granted Critical Publication of US9691027B1 publication Critical patent/US9691027B1/en Assigned to CA, INC. Assignors: DICORPO, PHILLIP, SHROWTY, VIKRAM, SAWANT, SHITALKUMAR S. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.) Filing date Publication date Priority claimed from US42305310P external-priority Application filed by Symantec Corp filed Critical Symantec Corp Priority to US13/324,987 priority Critical patent/US9691027B1/en Assigned to SYMANTEC CORPORATION reassignment SYMANTEC CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Original Assignee Symantec Corp Priority date (The priority date is an assumption and is not a legal conclusion. ![]() Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.) Sawant Vikram Shrowty Philip DiCorpo Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.) Active, expires Application number US13/324,987 Inventor Shitalkumar S. Google Patents Confidence level threshold selection assistance for a data loss prevention system using machine learningÄownload PDF Info Publication number US9691027B1 US9691027B1 US13/324,987 US201113324987A US9691027B1 US 9691027 B1 US9691027 B1 US 9691027B1 US 201113324987 A US201113324987 A US 201113324987A US 9691027 B1 US9691027 B1 US 9691027B1 Authority US United States Prior art keywords level threshold data confidence confidence level random Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US9691027B1 - Confidence level threshold selection assistance for a data loss prevention system using machine learning US9691027B1 - Confidence level threshold selection assistance for a data loss prevention system using machine learning ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |