“MINDS
(Minnesota Intrusion Detection System)
based on Data Mining Techniques”
Abstract: In
the past few years, computer attacks
have been exponentially increasing, as
well as their sophistication and severity.
The intention of these attacks is not
simply to infect a few machines, but
to affect large portions of the Internet
by shutting down millions of servers
and clogging the information "superhighways." Intrusion
detection corresponds to a suite of techniques
that are used to identify such attacks
against computers and network infrastructures.
This talk by Aleksandar Lezarevic, Senior Research Scientist at United Technologies Research
Center, focused on behavior-based anomaly detection as a key element of
the Minnesota Intrusion Detection System (MINDS). MINDS is a suite of data mining
techniques that automatically detects, aggregates and summarizes attacks against
computer networks and systems.
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