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Using sequencing and timing information of behavior events in machine learning to detect malware - US-8401982-B1

More about the patent "Using sequencing and timing information of behavior events in machine learning to detect malware "
ID: US-8401982-B1

Danger Rate by editors: 54


Assignee: Symantec Corporation

Inventors: Sourabh Satish, Zulfikar Ramzan

Class: G06N99/005

Tags: Learning Machines; Personalized User Data.

Filing: 2010-01-14

Priority: 2010-01-14

Publication: 2013-03-19

Granted: 2013-03-19


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Using sequencing and timing information of behavior events in machine learning to detect malware - US-8401982-B1

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SOCIALITY AIMS TO EXPLOIT INTELLECTUAL PROPERTY LAWS FOR MONITORING AND REGULATING HAZARDOUS INFORMATION TECHNOLOGY. AS AN ARTISTIC PROVOCATION, IT PROPOSES THE DEMOCRATIC BANNING OF SOCIALLY HARMFUL INVENTIONS THAT EMPLOY DEVIOUS PSYCHOLOGICAL AND PROFILING TACTICS THROUGH ARTIFICIAL INTELLIGENCE, ALGORITHMS, DATA MINING, SOCIAL MEDIA, USER INTERFACES AND TRACKING, IN FAVOR OF A MORE ETHICAL USE OF TECHNOLOGY.
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