Correlation analysis of abnormal network traffic

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Detecting Distributed Network Traffic Anomaly with Network-Wide Correlation Analysis

Distributed network traffic anomaly refers to a traffic abnormal behavior involving many links of a network and caused by the same source (e.g., DDoS attack, worm propagation). The anomaly transiting in a single link might be unnoticeable and hard to detect, while the anomalous aggregation from many links can be prevailing, and does more harm to the networks. Aiming at the similar features of d...

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Towards Flow - based Abnormal Network Traffic Detection

One recent trend in network security attacks is an increasing number of indirect attacks which influence network traffic negatively, instead of directly entering a system and damaging it. In future, damages from this type of attack are expected to become more serious. In addition, the bandwidth consumption by these attacks influences the entire network performance. This paper presents an abnorm...

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Performance-relevant Network Traffic Correlation

Correlation structure is an important metric to consider when modeling the performance of network traffic. Particularly, the presence of long-range dependence (LRD) in the input process may, under some circumstances, lead to poor queueing performance. In this paper, we first aim to characterize the conditions under which the presence of LRD is performance relevant. We define variations of an ON...

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Behavioral Analysis of Traffic Flow for an Effective Network Traffic Identification

Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...

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ژورنال

عنوان ژورنال: SPIIRAS Proceedings

سال: 2014

ISSN: 2078-9599,2078-9181

DOI: 10.15622/sp.23.5