NETWORK TRAFFIC ANOMALIES IDENTIFICATION BASED ON CLASSIFICATION METHODS / TINKLO SRAUTO ANOMALIJŲ IDENTIFIKAVIMAS, TAIKANT KLASIFIKAVIMO METODUS
نویسندگان
چکیده
منابع مشابه
Automated Classification of Network Traffic Anomalies
Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem. This paper presents a new algorithm for automated classification of network traffic anomalies. The algorithm relies on three st...
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The IP network engineering, management and control are highly benefited by Network traffic classification and application identifi¬cation. There are many popular methods available namely port-based and payload-based but they have shown some disadvantages, and the machine learning based method is a potential one. Unsupervised learning deals with a class of problems in which one seeks to determin...
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Network traffic classification can be used to identify different applications and protocols that exist in a network. Actions such as monitoring, discovery, control and optimization can be performed by using classified network traffic. The overall goal of network traffic classification is improving the network performance. Once the packets are classified as belonging to a particular application,...
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Traffic classification plays an important role in many aspects of network management such as identifying type of the transferred data, detection of malware applications, applying policies to restrict network accesses and so on. Basic methods in this field were using some obvious traffic features like port number and protocol type to classify the traffic type. However, recent changes in applicat...
متن کاملReview on Network Traffic Classification
Traffic classification has wide applications in network management, from security monitoring to quality of service measurements. Recent research tends to apply machine learning techniques to flow statistical feature based classification methods. The nearest neighbor (NN)-based method has exhibited superior classification performance. It also has several important advantages, such as no requirem...
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ژورنال
عنوان ژورنال: Mokslas – Lietuvos ateitis
سال: 2015
ISSN: 2029-2341,2029-2252
DOI: 10.3846/mla.2015.796