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In this paper we study the problem of how to detect and extract a particular type of propagation structure that arises in phishing activities. One of the most interesting phenomena induced by phishing is fast-flux, whereby a single malicious domain is mapped to a constantly changing IP address in order to evade capture and shut-down. This leads to malicious activities observed to be propagating through...
Latent Dirichlet Allocation (LDA) has been widely applied to text mining. LDA is a probabilistic topic model which processes documents as the probability distribution of topics. One challenging issue in application of LDA is to select the optimal number of topics in LDA model. This paper presents a topic selection method which considers the density of each topic and computes the most unstable topic...
Hadoop is a popular open source implementation of MapReduce, that has a number of prominent users including Yahoo!, Facebook, and Twitter. Though several works have focused on deploying algorithms on Hadoop MapReduce, research efforts into applying formal methods to prove the correctness of hadoop systems are limited. In this paper we propose a holistic approach to verify the correctness of hadoop...
Recently MapReduce programming model is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The Hadoop implementation of MapReduce is one of the most popular tools for many programmers due its ability to hide details of parallel programming from the users. However work on simulating the Hadoop environment is still in its infancy...
Methodology of automatic generation of test cases based on Model Driven Architecture is proposed, and its design and implementation have be done. The process of generating test cases is that a platform-independent model is converted into a platform-independent test model through level conversion, and the platform-independent test model is converted into the corresponding test cases through vertical...
The traditional network simulator don't have the ability of simulation for the process of large-scale network security incidents outbreak, we designed a grid-based Internet worm behavior simulator which is consisted of foreground applications and background analog subsystems in parallel. It makes the most of the benefit of the grid computing capability, resource and task management. The experimental...
By using the quarterly data of 1996-2005 in China, this paper evaluates the usefulness of a monetary policy rule designed for developed economies. Drawing on our econometric analysis, we argue that the model comes closer to the data of China ,it is an ideal framework for chinese monetary policy analysis. The paper also suggests to make modifications of the typical policy rule to explain Chinese economy...
Web hot topic prediction is now one of the most significant research focus in Web data mining, which can reflect the Internet users' psychosocial predilection, may greatly benefit us. Markov and neural network are such two typical traditional prediction model, however, the Markov method can neither capture nor express the statistical property of the real data while the computation of neural network...
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