We formalize the problem of scan detection as a data mining problem and present a method for transforming network traffic data into a data set that classifiers ...
In this paper, we formalize the problem of scan detection as a data mining problem. We show how the network traffic data sets can be converted into a data set ...
The strong point of this approach is its ability to detect Port Scanning Activities at an early stage [29]. ... ... Hidden Markov Models reveal to be a ...
This paper formalizes the problem of scan detection as a data mining problem and shows how the network traffic data sets can be converted into a data set ...
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Our method successfully demonstrates that data mining models can encapsulate expert knowledge to create an adaptable algorithm that can substantially outperform ...
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In this thesis, we formalize the problem of scan detection as a data mining problem. We show how a network traffic data set can be converted into a data set ...
This paper provides lessons learned in this task. Based upon our experiences in getting started on this type of project, we suggest data mining techniques to.
In this paper, we propose a new method of scan detection by selecting and testing combinations of attribute sets, machine learn- ing algorithms, and lower ...
Data mining is one of the four detection methods used today for detecting malware. The other three are scanning, activity monitoring, and integrity checking.