Anomaly Detection of Network Traffic Based on Prediction and Self-Adaptive Threshold
نویسندگان
چکیده
منابع مشابه
Anomaly Detection of Network Traffic Based on Prediction and Self-Adaptive Threshold
Security problems with network are significant, such as network failures and malicious attacks. Monitoring network traffic and detect anomalies of network traffic is one of the effective manner to ensure network security. In this paper, we propose a hybrid method for network traffic prediction and anomaly detection. Specifically, the original network traffic data is decomposed into high-frequen...
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In recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) att...
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Internet has become an essential part of the daily life for billions of users worldwide, who are using a large variety of network services and applications everyday. However, there have been serious security problems and network failures that are hard to resolve, for example, Botnet attacks, polymorphic worm/virus spreading, DDoS, and flash crowds. To address many of these problems, we need to ...
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Recent attack targets on a public network as well as an enterprise/edge network or system because the damage of the public network-attack is far stronger than an enterprise network or systems-attack and the speed of its propagation is far faster. Theses attacks typically cause not only traffic congestion but also network failure exhausting network bandwidth, router processing capacity using the...
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ژورنال
عنوان ژورنال: International Journal of Future Generation Communication and Networking
سال: 2015
ISSN: 2233-7857
DOI: 10.14257/ijfgcn.2015.8.6.20