Earticle

With the development of VoIP (Voice over IP) service, new security threats are expected to be appeared. However, existing IP network security solutions can not detect new VoIP specified network threats because they can not reflect characteristics of VoIP. In this paper, we propose a novel system that can monitor VoIP service and detect VoIP network threats practically. The proposed system collects attributes of VoIP traffic based on NetFlow, and executes monitoring and detecting based on statistic and behavior.

In this paper, we study the localization problem in large-scale Underwater Wireless Sensor Networks (UWSNs). Unlike in the terrestrial positioning, the global positioning system (GPS) can not work efficiently underwater. The limited bandwidth, the severely impaired channel and the cost of underwater equipment all makes the localization problem very challenging. Most current localization schemes are not well suitable for deep underwater environment. We propose a hierarchical localization scheme to address the challenging problems. The new scheme mainly consists of four types of nodes, which are surface buoys, Detachable Elevator Transceivers (DETs), anchor nodes and ordinary nodes. Surface buoy is assumed to be equipped with GPS on the water surface. A DET is attached to a surface buoy and can rise and down to broadcast its position. The anchor nodes can compute their positions based on the position information from the DETs and the measurements of distance to the DETs. The hierarchical localization scheme is scalable, and can be used to make balances on the cost and localization accuracy. Initial simulation results show the advantages of our proposed scheme.

This paper proposes a novel secure query processing model for semantic sensor networks. A semantic sensor network (SSN) is a sensor network which includes semantics of sensory data and context information, and relationships between the semantics. In brief, SSN is an extension of the current Sensor Network (SN) and realized by using Semantic Web (SW) technologies. Although various researches have been activated on SSN, there is little activity on how to access data in semantic sensor networks in safe. This paper proposes a new access control model for secure query processing under semantic sensor networks. The proposed security model is based on RBAC (Role-Based Access Control) and enables secure access control of ontology for SSNs.

In this paper we have survey on biometric payment system. Biometric payment system is used for various kinds of payment system instead of the tension of cards to put with them and to memorize theirs difficult passwords and pin numbers. Biometric payment system is much safe and secure and very easy to use and even without using any password or secret codes to remember as compare with previous system like credit card payment system, wireless system and mobile system etc. Biometric payment system is reliable, economical and it has more advantages as compare with others. In daily life the usage of credit cards, check card for shopping, bus card, subway card for traveling, student card for library and department, and many kinds of cards for unlimited purposes and so on. So problem is that a person has to take many cards and has to remember their passwords or secret codes and to keep secure to take with him all time. So the biometric payment system will solve this problem. Greater adoption of biometric payment system will drive down the cost of biometric readers and thus making it more affordable to small business owners. We really need alternate payment systems. This "perpetual toll" to credit card companies has to stop.

Based on noise intensity, in this paper, we propose a feature-preserving smoothing algorithm for point-sampled geometry (PSG). The noise intensity of each sample point on PSG is first measured by using a combined criterion. Based on mean shift clustering, the PSG is then clustered in terms of the local geometry-features similarity. According to the cluster to which a sample point belongs, a moving least squares surface is constructed, and in combination with noise intensity, the PSG. is finally denoised. Some experimental results demonstrate that the algorithm is robust, and can smooth out the noise efficiently while preserving the surface features.