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In this paper we describe a practical yet effective technique to monitor the amount of bytes that several classes of protocols, such as peer-to-peer, e-mail, etc., transmit over encrypted virtual links, such as IPSec tunnels. The experiments described in this paper demonstrate that our regression-tree-based bandwidth estimator is effective enough to create usage models inherently robust to changes...
In recent years, ``folksonomy''-like systems such as Delicious Social Bookmarking have achieved huge success. User collaboration is the defining characteristic of such systems. For indoor positioning mechanisms, we argue that it is also possible to incorporate collaboration in order to improve system performance, especially for fingerprinting based approaches. In this paper, we propose a robust and...
Identifying and classifying different network applications is very important for trend analysis, dynamic access control, network security and traffic engineering, while traffic classification is able to classify applications effectively. Current popular methods of traffic classification mainly include machine learning algorithm based on supervised or unsupervised and the method based load. In practical...
In this paper, we present a novel framework -- it uses the information in kernel structures of a process -- to do run-time analysis of the behavior of an executing program. Our analysis shows that classifying a process as malicious or benign -- using the information in kernel structures of a process -- is not only very accurate but also has very low processing overheads; as a result, this lightweight...
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