定向广告中消费者隐私态度对行为意愿的影响机制

基于消费者隐私视角，检验消费者隐私态度、定向广告认知和行为意愿之间的关系。通过对258份消费者随机抽样数据进行实证研究，分析个体特征变量在隐私态度，隐私控制度、隐私敏感度上的差异，并通过结构方程路径分析验证假设。研究结果表明：消费者隐私态度直接显著正向影响其定向广告认知水平和行为意愿；消费者定向广告认知水平直接显著负向影响其行为意愿；定向广告认知在消费者隐私态度和行为意愿之间存在显著的部分中介作用。因此，企业应重视消费者隐私关注，在投放过程中关注用户感知以优化定向广告。从而实现定向广告精准投放与消费者个人隐私关注的平衡。     

Is the valid species Synchaeta monopus Plate, 1889 (Rotifera: Monogononta) a product of preparation artefacts?

The morphology of soft-bodied rotifers, including those of Synchaeta spp, can be strongly affected by preparation artefacts including contraction and deformation. The long-standing, valid species Synchaeta monopus is known exclusively from ethanol- or formaldehyde-preserved material and no live specimens of it have ever been described. Although this alone is cause for concern, we could also reproduce unique characteristics diagnostic for this species (e.g. the swollen body and the rudimental foot) by subjecting specimens of Synchaeta pectinata to the preservation conditions under which it was first described. This proxy experiment and comparisons to other Synchaeta species indicate that literature occurrences of S. monopus likely represent preserved and deformed specimens of Synchaeta cecilia or other marine species of Synchaeta, thereby highlighting the importance of thorough morphological investigations of the habitus using live specimens and of features that are unaffected by preservation (e.g. the trophi). We therefore recommend that S. monopus be listed as a species inquirenda until topotypes are examined. Furthermore, in ecological studies including rotifers, where the examination of preserved material is often unavoidable, we stress that light-microscopical images of the habitus and trophi of the specimens minimally be included to facilitate independent verification of the species assignments.     

隐私侵犯经历对网络用户自我披露的影响机制

网络用户的自我披露对以用户生成内容为业务基础的互联网企业具有战略意义.然而,隐私侵犯事件层出不穷.如何鼓励有隐私侵犯经历的用户持续披露个人信息对互联网企业至关重要.采用系统性随机分层抽样,结合代理理论和社会契约理论构建模型,研究了隐私侵犯经历对自我披露的作用机制.结果表明,隐私侵犯经历对自我披露意愿具有直接效应和间接效应:隐私侵犯经历与自我披露意愿之间存在强烈负向关系,并通过影响网络用户对隐私政策、隐私保护技术、行业自律和法律执行的有效性感知影响自我披露意愿.本研究阐明了隐私侵犯经历对自我披露的具体作用机制,为互联网企业鼓励有隐私侵犯经历的用户持续披露个人信息提供可操作性建议.     

基于LBS的连续查询位置隐私保护模型的动态规划算法

针对现有的算法大多都是静态位置隐私保护的,如果将静态算法应用于动态的连续查询中,会导致位置隐私泄露,提出了一种基于连续查询的动态规划改进算法,旨在保护用户的位置隐私,仿真实验结果证明:该算法在匿名处理时间、匿名成功率和轨迹扭曲度等方面优于现有算法.     

浅议如何保护图书馆读者的隐私权

在图书馆信息化背景下,由于保护措施不到位,读者隐私权被侵害的情况屡见不鲜.阐述了图书馆读者隐私权被侵害的种种表现,提出了保护图书馆读者隐私权的措施.     

基于Flash交互动画技术的西湖传统文化保护系统

西湖传统文化保护系统属于非物质文化数字保护的范畴.在非物质文化数字化保护的框架下,以西湖传统文化内容为范例,探讨和建立了以Flash开发平台的Action Script 3.0为基础、交互动画形式为主的多维度交互式展示系统,重点解决基于Flash Action Script 3.0语言为基础的内在技术,尝试以模拟触控平台、无缝链接交互结构及自由信息交互操控三大交互结构设计来实现交互现实体验,从而验证了在数字化媒体艺术中Flash交互动画技术传播传统文化的优势和有效性.     

Privacy Quantification Model Based on the Bayes Conditional Risk in Location-Based Services

The widespread use of Location-Based Services(LBSs),which allows untrusted service providers to collect large quantities of information regarding users’locations,has raised serious privacy concerns.In response to these issues,a variety of LBS Privacy Protection Mechanisms(LPPMs)have been recently proposed.However,evaluating these LPPMs remains problematic because of the absence of a generic adversarial model for most existing privacy metrics.In particular,the relationships between these metrics have not been examined in depth under a common adversarial model,leading to a possible selection of the inappropriate metric,which runs the risk of wrongly evaluating LPPMs.In this paper,we address these issues by proposing a privacy quantification model,which is based on Bayes conditional privacy,to specify a general adversarial model.This model employs a general definition of conditional privacy regarding the adversary’s estimation error to compare the different LBS privacy metrics.Moreover,we present a theoretical analysis for specifying how to connect our metric with other popular LBS privacy metrics.We show that our privacy quantification model permits interpretation and comparison of various popular LBS privacy metrics under a common perspective.Our results contribute to a better understanding of how privacy properties can be measured,as well as to the better selection of the most appropriate metric for any given LBS application.     

数字信息资源选择性保存的策略研究

数字信息资源长期保存不能完全套用印本环境下的保存模式,应根据数字信息的特点和保存原则,确立数字信息资源内容、媒体、技术、格式、模式和标准的选择性保存策略。     

垂直分布数据的隐私保护支持向量机

随着人们对隐私权的越来越重视,隐私保护数据挖掘成为当前研究热点.分类算法作为一个重要的数据挖掘方法被应用到各个领域,其中支持向量机(SVM)是分类算法中一个重要方法.并且数据的隐私性和安全性是人们关注的重点.本文对SSP协议进行扩展提出了一个基于垂直分布数据的隐私支持向量机算法,这个算法具有更高的效率和更好的安全性.     

匿名数据的KCNN-SVM分类技术

提出一种基于匿名数据分类法的KCNN-SVM分类法.把匿名数据建模成不确定数据,实现用匿名数据建立分类模型.同时发布匿名数据的QI属性统计信息,更好地操纵匿名数据.KCNN-SVM分类法改进了SVM分类对于混淆点的泛化能力.结果表明,在实现了匿名数据分类的同时,分类精度也得到了提高.