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L. Ricciulli and N. Shacham. Modeling Correlated Alarms in Network Management Systems. In Communication Networks and Distributed Systems Modeling and Simulation, 1997.

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High Speed Network First-Stage Alarm Correlator - Sterritt, Shapcott, Adamson.. (2000)   (Correct)

....left to the operator to determine from the reduced set of higher priority alarms. Ideally a technique that can tackle both these concerns would be best. Artificial Intelligence (A.I. offers that potential and has been and still is an active area of research to assist in fault management[4] 5] 6][7]. 2.6 ALARM CORRELATION THE BAYESIAN NETWORK WAY The authors research [8] does deal with both criteria (volume of alarms and cause not the symptoms) using probabilistic reasoning techniques [9] The cause and effect graph can be considered a complex form of alarm correlation. The alarms are ....

Ricciulli L., Shacham N. Modeling Correlated Alarms In Network Management Systems Computer Science Laboratory, SRI International, Menlo Park, CA 94025-9493. May, 1996, pp. 1-25.


PGRIP: PNNI Global Routing Infrastructure Protection - Sabrina De Capitani   Self-citation (Ricciulli)   (Correct)

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L. Ricciulli and N. Shacham. Modeling Correlated Alarms in Network Management Systems. In Communication Networks and Distributed Systems Modeling and Simulation, 1997.


Global Infrastructure Protection System - Sabrina De Capitani   Self-citation (Ricciulli)   (Correct)

No context found.

L. Ricciulli and N. Shacham. Modeling Correlated Alarms in Network Management Systems. In Communication Networks and Distributed Systems Modeling and Simulation, 1997.


PGRIP: PNNI Global Routing Infrastructure Protection - di Vimercati, Lincoln..   Self-citation (Ricciulli)   (Correct)

....we illustrate a case in which the PGL is found to be faulty. 7. 1 Fault diagnosis Researchers in the field of distributed network management have long been investigating techniques for performing diagnosis of network malfunctions through alarm correlation (for an overview see, for example, [16]) The rationale is that, given a set of symptoms represented by a variety of distinct alarm messages, an expert system should be able to correlate the symptoms and diagnose the underlying problem. We describe three different kinds of alarm processing scenarios in the context of PNNI. For ....

L. Ricciulli and N. Shacham. Modeling Correlated Alarms in Network Management Systems. In Communication Networks and Distributed Systems Modeling and Simulation, 1997.


Techniques and Tools for Analyzing Intrusion Alerts - Ning, Cui, Reeves, Xu (2004)   (1 citation)  (Correct)

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Ricciulli, L. and Shacham, N. 1997. Modeling correlated alarms in network management systems. In In Western Simulation Multiconference.


Analyzing Intensive Intrusion Alerts Via Correlation - Peng Ning Yun (2002)   (1 citation)  (Correct)

No context found.

Ricciulli, L., Shacham, N.: Modeling correlated alarms in network management systems. In: In Western Simulation Multiconference. (1997)

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