MIND - Multidimensional Indices for Network Diagnosis

Overview

Detecting coordinated attacks on Internet resources requires a distributed network monitoring infrastructure. Such an infrastructure will have two logically distinct elements: distributed monitors that continuously collect traffic information, and a distributed query system that allows network operators to efficiently correlate information from different monitors in order to detect anomalous traffic patterns.

In this project, we explore the design and implementation of MIND, a distributed index management system that supports the creation and querying of multiple distributed indices. We validate MIND using traffic traces from two large backbone networks, then examine the performance of a MIND prototype on more than 100 PlanetLab machines. Our experiments show that MIND can detect and report network anomalies in about one second on an inter-continental backbone.

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Last Modified: 1 March 2005