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With the vast resource and techniques increasingly available to attackers, application layer DDoS (App-DDoS) attacks have become a serious threat to webserver. In order to deal with this kind of complex and varied attacks, a novel approach based on time series prediction model is proposed, which includes the following work: Firstly, App-DDoS attacks are divided into flooding attacks and asymmetric...
Scan registration is the fundamental of several advanced 3D data processing techniques, and the majority of existing global registration methods depend on explicit features. This paper presents a global feature-less scan registration strategy based on the Spherical Entropy Image (SEI) and the Generalized Convolution Theorem. The structure of the scan is described by a spherical function named SEI...
Human action recognition in video sequences is an important research topic in computer vision, and motion history image (MHI) is widely taken for recognition due to its simplicity. However, it may be not robust to describe an action by only a single MHI. Therefore, an action recognition scheme by using multiple key MHIs (MKMHIs) is proposed. Firstly, an adaptive method for key MHIs selection is proposed...
Social networks is a virtual communities and networking platform, where people can create and share views, ideas and experiences freely. Social networks like the real world, filled with colorful crowd. How to use user behavior attributes, basic information, and interactive content in social media to classify users has become a hot topic in the field of social network analysis. In this paper, we present...
Application layer Distributed Denial of Service (DDoS) attacks, which are legitimate in packets and protocols, gradually become a pressing problem to the current network. How to effectively resist this type of attack is becoming even more challenging with the vast resources and techniques increasingly available to attackers. This paper studies the existing application layer DDoS attacks and provides...
Misclassification minimization problem is a fundamental problem of support vector machines. It can be stated by a way of minimizing the sum of violations of misclassified points, generally, its objective function is non-differentiable. In order to solve this problem, commonly, ones either use the Sigmoid functions (or a concave functions) sequence to approximate the step function, while the problem...
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