Wisconsin Alumni Research Foundation

At&t Intellectual Property I, LP

Paul Robert Barford

David John Plonka

Amos Ron

Nicholas G Duffield

Vinod Yegneswaran

Joel Sommers

Somesh Jha

Sangnam Nam

Jeffery Thomas Kline

Jonathon Thomas Giffin

A network anomaly detector evaluates two complementary measurements of network statistics, a time variation and correlation among those statistics, to provide an extremely robust detection of network anomalies. In one embodiment, the variability and correspondence are compared against historically derived thresholds to provide for a system that accommodates to local network conditions and evolving network qualities.

Method and apparatus for network anomaly detection

A method and apparatus for detecting and localizing an anomaly for a network are disclosed. For example, the method sends a first set of probe packets on at least one path of the network, and detects a performance anomaly on a first path of the at least one path. The method then identifies at least one link on the first path that is responsible for the performance anomaly by applying a second set of probe packets.

Method and apparatus for detecting and localizing an anomaly for a network

A method and an apparatus for providing a measurement of performance for a network are disclosed. For example, the method sends a plurality of multi-objective probes on a path, and receives one or more of said plurality of multi-objective probes for the path. The method then determines a plurality of performance measurements.

Method and apparatus for providing a measurement of performance for a network

An automatic technique for generating signatures for malicious network traffic performs a cluster analysis of known malicious traffic to create a signature in the form of a state machine. The cluster analysis may operate on semantically tagged data collected by connection or session and normalized to eliminate protocol specific features. The signature extractor may generalize the finite-state machine signatures to match network traffic not previously observed.

Semantically-aware network intrusion signature generator

A monitor of malicious network traffic attaches to unused addresses and monitors communications with an active responder that has constrained-state awareness to be highly scalable. In a preferred embodiment, the active responder provides a response based only on the previous statement from the malicious source, which in most cases is sufficient to promote additional communication with the malicious source, presenting a complete record of the transaction for analysis and possible signature extraction.

Scalable monitor of malicious network traffic

A network monitor provides improved understanding of the type of data being transmitted by packets by capturing rendezvous packets, such as domain name server queries and responses, to extract text domain names that may then be associated with later packets using a common numeric addresses. Text domain names intended for human understanding and recollection provide a unique insight into the content of the packets not readily obtained by analysis of the packet data itself.

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Madison, WI, United States of America

Paul Robert Barford