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In recent years, enterprises have been facing a growing number of highly customized attacks using sophisticated techniques that seek to compromise important company assets. In this paper, we propose a multi-layer deception system that provides an in depth defense against such sophisticated attacks. Specifically, based on previous knowledge and patterns of such attacks, we model the attacker as trying...
Frequent serial episodes within an event sequence describe the behavior of users or systems about the application. Existing mining algorithms calculate the frequency of an episode based on overlapping or non-minimal occurrences, which is prone to over-counting the support of long episodes or poorly characterizing the followed-by-closely relationship over event types. In addition, due to utilizing...
The reduced support vector machine (RSVM) was proposed to overcome the computational difficulties as well as to reduce the model complexity in generating a nonlinear separating surface for a massive data set. However, it selects `support vectors' randomly from the training set, this will effect the result. To overcome this shortcoming of RSVM, an improved RSVM algorithm is presented in this paper...
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