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Traffic analysis is a security attack where an adversary observes the statistical pattern of network traffic to infer sensitive information. Statistical properties such as packets length and inter-arrival time provide valuable information about an application, user's activities, and an underlying system. On the other hand, traffic analysis is categorized as a passive attack that is difficult to detect...
This paper implements an efficient networking management for a protocol processor in a network terminal. The protocol processor is to handle high-speed data streams, more than 10 Gb/s, in a network terminal. We propose an algorithm, which contributes to fairness and full utilization of the packet buffer memory. In our experimental results, the proposed algorithm shows good improvement for the packet...
This paper presents a novel method to combine k-means clustering and ID3 decision trees learning algorithms for unsupervised classification of anomalous and normal activities in computer network ARP traffic. The k-means clustering method is first applied to the normal training instances to partition it into k clusters using Euclidean distance similarity. Some anomaly criteria has been defined and...
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