Detecting cyberattacks by profiling "normal" computer habits

Tuesday, 15 October 2002, 11:34 AM EST

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.

The "user-level anomaly detection system" was described Oct. 10, 2002 at the military communications conference known as MILCOM 2002 in Anaheim, CA.

"We have developed a new paradigm, proactively encapsulating user intent where you basically generate a profile for every single user in the system where security is a major concern," said Shambhu Upadhyaya, Ph.D., associate professor of computer science and engineering at UB and co-author of the paper.

[ Read more ]




Spotlight

Whitepaper: Zero Trust approach to network security

Posted on 20 November 2014.  |  Zero Trust is an alternative security model that addresses the shortcomings of failing perimeter-centric strategies by removing the assumption of trust.


Weekly newsletter

Reading our newsletter every Monday will keep you up-to-date with security news.
  



Daily digest

Receive a daily digest of the latest security news.
  

DON'T
MISS

Fri, Nov 21st
    COPYRIGHT 1998-2014 BY HELP NET SECURITY.   // READ OUR PRIVACY POLICY // ABOUT US // ADVERTISE //