Abstract Within the field of data privacy preserving research, privacy preserving Location-based Services for mobile users in road networks is a topic of great concern in recent years. However, most previous works on location privacy protection in road networks adopt spatial cloaking techniques, which may easily suffer replay attack. In addition, existing solutions for resisting replay attack generally add some randomized mechanisms into the... Within the field of data privacy preserving research, privacy preserving Location-based Services for mobile users in road networks is a topic of great concern in recent years. However, most previous works on location privacy protection in road networks adopt spatial cloaking techniques, which may easily suffer replay attack. In addition, existing solutions for resisting replay attack generally add some randomized mechanisms into the cloaking process, which may reduce the query efficiency. In this paper, we firstly propose a group-division method to prevent replay attack, and then present two strategies based on this method to form the cloaking group of road segments. The experiment results on real datasets of road networks demonstrate the effectiveness and feasibility of our solutions Read More Read Less

Abstract In wireless sensor networks, which can be configured to put some sensor nodes in sleep mode to save energy. This approach is a special case of a randomized scheduling algorithm, in which k subsets of sensors work alternatively. In this paper, we first study the performance of the randomized scheduling algorithm via both analysis and simulation in terms of intrusion coverage intensity, and... In wireless sensor networks, which can be configured to put some sensor nodes in sleep mode to save energy. This approach is a special case of a randomized scheduling algorithm, in which k subsets of sensors work alternatively. In this paper, we first study the performance of the randomized scheduling algorithm via both analysis and simulation in terms of intrusion coverage intensity, and detection probability, then, we also study the asymptotic coverage and other properties. Finally, we analyze a problem of maximizing network lifetime under Quality of Service constraints such as bounded detection delay, detection probability, and network coverage intensity. We prove that the optimal solution exists, and provide conditions of the existence of the optimal solutions. Read More Read Less

Abstract With the rapid development of Internet technology, cyber shopping has become the major current of customer buying. Hyper competition requires the sellers to find effective way to break through from the cyber marketing; as the effective way to achieve competitive advantage, the customer loyalty has been the concentration of scholars and entrepreneurs. This paper attempts to study on the relationship between customer satisfaction... With the rapid development of Internet technology, cyber shopping has become the major current of customer buying. Hyper competition requires the sellers to find effective way to break through from the cyber marketing; as the effective way to achieve competitive advantage, the customer loyalty has been the concentration of scholars and entrepreneurs. This paper attempts to study on the relationship between customer satisfaction and loyalty in cyber shopping to form the construction system of customer satisfaction and loyalty, which is aiming for giving guideline on marketing practice and enhancing customer share. Through deep analysis on the relationship of satisfaction and loyalty, being affected by customer trust, the relationship model is constructed; further to that, the statistical analysis will be performed to draw the conclusion. This article studies on the customer in cyber shopping and applies the factor analysis to form two customer perceived value factors, specifically, the price advantage and customer personality; and two cyber service elements are summarized in the paper: website designing and information quality. The structural equations model is performed to analyze the relationship of cyber customer satisfaction and loyalty, the interactive function by customer trust is verified. Read More Read Less