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Naive Bayes classifiers are widely used to filter spam emails, however, the strong independence assumptions between features limit their performance in accurately identifying spams. To address this issue, we proposed a support machine vector based naive Bayes — SVM-NB — filtering system. The SVM-NB first constructs an optimal separating hyperplane that divides samples in the training set into two...
With the rapid development of the internet of things, location information becomes increasingly important for various applications. However, the localization information of network devices are vulnerable to various attacks. In this paper, we propose SPIN, a scheme for location verification that allows the access point (AP) to verify credibility of a reported location from a network node. This is achieved...
Android smart device has become a preferred target for attackers as it carries plenty of private and sensitive information. However, heap overflow vulnerability in Android system gives the opportunity to execute arbitrary malicious code and even steal personal privacy. The existence of such vulnerability makes Android system too weak to defense attacks and protect privacy. It's necessary to evaluate...
In the past few years, HTML5-based mobile applications are becoming more and more popular because they can run across different platforms, which greatly reduces the developing cost and improves the production efficiency. This kind of app is also called hybrid app. It can access the platform resources mostly like a native app with the help of many third-party frameworks. As we all know, web apps are...
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