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Anomaly detection in large-scale networks is not a simple task, although there are several studies in this area. The continuous expansion of computer networks results in increased complexity of management processes. Thus, simple and efficient anomaly detection mechanisms are required in order to assist the management of these networks. In this paper, we present an anomaly detection system using a...
The practicality and convenience provided by computer networks made them indispensable, which resulted on their continuous growth both in size and complexity. Traffic monitoring became an arduous work, requiring autonomic mechanisms to describe the network's normal behavior. Thus, we introduce Digital Signature of Network Segment using Flow Analysis (DSNSF) as a mechanism to assist the networks management...
Due to modernization, expansion of computer networks has become an inevitable process. However, this growth is also accompanied by increased complexity, which makes it necessary to use resources that assist the management of these networks. In this paper, we propose a traffic characterization using two-dimensional flow analysis for modeling the behavior traffic pattern, here called Digital Signature...
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