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To Detect Cyberattacks, New Software System Profiles "Normal" Computer Habits

Date:
October 11, 2002
Source:
University At Buffalo
Summary:
An early version of a new software system developed by University at Buffalo researchers that detects cyberattacks while they are in progress by drawing highly personalized profiles of users has proven successful 94 percent of the time in simulated attacks.

ANAHEIM, Calif. -- An early version of a new software system developed by University at Buffalo researchers that detects cyberattacks while they are in progress by drawing highly personalized profiles of users has proven successful 94 percent of the time in simulated attacks.


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The above story is based on materials provided by University At Buffalo. Note: Materials may be edited for content and length.


Cite This Page:

University At Buffalo. "To Detect Cyberattacks, New Software System Profiles "Normal" Computer Habits." ScienceDaily. ScienceDaily, 11 October 2002. <www.sciencedaily.com/releases/2002/10/021011071818.htm>.
University At Buffalo. (2002, October 11). To Detect Cyberattacks, New Software System Profiles "Normal" Computer Habits. ScienceDaily. Retrieved April 24, 2014 from www.sciencedaily.com/releases/2002/10/021011071818.htm
University At Buffalo. "To Detect Cyberattacks, New Software System Profiles "Normal" Computer Habits." ScienceDaily. www.sciencedaily.com/releases/2002/10/021011071818.htm (accessed April 24, 2014).

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