A framework for service quality assurance using event correlation techniques

Hanemann, Andreas; Sailer, Martin

doi:10.1109/aict.2005.7

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…A number of different approaches for implementing event correlation have been investigated, including finite state machine based, 19 rule-based event correlation, 20–24 codebook based, 25 case-based reasoning, 26,27 genetic algorithms, 28 graph based, 29–31 model-based reasoning, 32,33 neural network based, 34 and probabilistic 35 methods. Each approach to event correlation provides unique benefits and limitations, so the best approach is strongly dependent on the application environment.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Dynamically Configured Log-based Distributed Security Event Detection Methodology

Grimaila

Myers

Mills

et al. 2011

Journal of Defense Modeling & Simulation

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Military and defense organizations rely upon the security of data stored in, and communicated through, their cyber infrastructure to fulfill their mission objectives. It is essential to identify threats to the cyber infrastructure in a timely manner, so that mission risks can be recognized and mitigated. Centralized event logging and correlation is a proven method for identifying threats to cyber resources. However, centralized event logging is inflexible and does not scale well, because it consumes excessive network bandwidth and imposes significant storage and processing requirements on the central event log server. In this paper, we present a flexible, distributed event correlation system designed to overcome these limitations by distributing the event correlation workload across the network of event-producing systems. To demonstrate the utility of the methodology, we model and simulate centralized, decentralized, and hybrid log analysis environments over three accountability levels and compare their performance in terms of detection capability, network bandwidth utilization, database query efficiency, and configurability. The results show that when compared to centralized event correlation, dynamically configured distributed event correlation provides increased flexibility, a significant reduction in network traffic in low and medium accountability environments, and a decrease in database query execution time in the high-accountability case.

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Section: Introductionmentioning

confidence: 99%

Design and Analysis of a Dynamically Configured Log-based Distributed Security Event Detection Methodology

Grimaila

Myers

Mills

et al. 2011

Journal of Defense Modeling & Simulation

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“…Andreas Hanemann and Martin Sailer . [7] has presented a framework for the new kind of event correlation which is called service-oriented event correlation. This bridges the gap between the management of the infrastructure and the offer of services for the customers with respect to the service fault diagnosis.…”

Section: Related Workmentioning

confidence: 99%

Defect Identification of Lumber Through Correlation Technique with Statistical Feature Extraction Method

Athilakshmi¹,

Wahi²,

Nagarajan³

2010

IJCA

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Feature extraction is an important component of a pattern recognition system. A well-defined feature extraction algorithm makes the identification process more effective and efficient. Quality checking is one of the most prominent steps in many applications using Feature extraction. Several techniques exist for the quality checking of wooden materials. However, image based quality checking of wooden materials still remains a challenging task. Although trivial quality checking methods are available, they do not give useful results in most situations. This paper addresses the issue of quality checking of wooden materials using feature extraction techniques with high accuracy and reliability. Experiments conducted under the proposed conditions showing significant results are presented.

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