Invention Grant
US07814548B2 Instance based learning framework for effective behavior profiling and anomaly intrusion detection
有权
基于实例的学习框架，用于有效的行为分析和异常入侵检测
- Patent Title: Instance based learning framework for effective behavior profiling and anomaly intrusion detection
- Patent Title (中): 基于实例的学习框架，用于有效的行为分析和异常入侵检测
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Application No.: US11224880Application Date: 2005-09-13
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Publication No.: US07814548B2Publication Date: 2010-10-12
- Inventor: Debapriyay Mukhopadhyay , Satyajit Banerjee
- Applicant: Debapriyay Mukhopadhyay , Satyajit Banerjee
- Applicant Address: US NJ Morristown
- Assignee: Honeywell International Inc.
- Current Assignee: Honeywell International Inc.
- Current Assignee Address: US NJ Morristown
- Agent Kermit D. Lopez; Luis M. Ortiz; Tuesday A. Kaasch
- Main IPC: G06F21/00
- IPC: G06F21/00
Abstract:
Intruders into a computer are detected by capturing historical data input into the computer by a user during a training mode, by profiling the historical data during the training mode to identify normal behavior, by capturing test data input by the user into the computer during an operational mode, by comparing the test data with the profiled historical data in accordance with a predetermined similarity metric during the operational mode to produce similarity results, and by evaluating the similarity results during the operational mode to identify abnormal data.
Public/Granted literature
- US20070061882A1 Instance based learning framework for effective behavior profiling and anomaly intrusion detection Public/Granted day:2007-03-15
Information query
