2007 International Conference on Mobile Data Management最新文献_第3页

Audio and Image Browser for Mobile Devices 移动设备的音频和图像浏览器

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.37

T. Lahti, P. Pietarila, Liu Yingfei, Timo Pylvänäinen, Olli Vuorinen

引用次数: 2

On Relaxing Contextual Preference Queries 关于放松上下文偏好查询

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.61

K. Stefanidis, E. Pitoura, Panos Vassiliadis

引用次数: 14

Energy-Efficient Medium Access for Data Intensive Wireless Sensor Networks 数据密集型无线传感器网络的节能介质接入

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.76

Zdravko Karakehayov, N. Andersen

引用次数: 8

Advanced Evasive Data Storage in Sensor Networks 传感器网络中的高级回避数据存储

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.29

Z. Benenson, F. Freiling, Peter M. Cholewinski

引用次数: 7

CADD: A Tool for Context Modeling and Data Tailoring CADD:上下文建模和数据裁剪工具

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.42

C. Bolchini, C. Curino, G. Orsi, E. Quintarelli, F. Schreiber, L. Tanca

{"title":"CADD: A Tool for Context Modeling and Data Tailoring","authors":"C. Bolchini, C. Curino, G. Orsi, E. Quintarelli, F. Schreiber, L. Tanca","doi":"10.1109/MDM.2007.42","DOIUrl":"https://doi.org/10.1109/MDM.2007.42","url":null,"abstract":"Nowadays user mobility requires that both content and services be appropriately personalized, in order for the (mobile) user to be always - and anywhere - equipped with the adequate share of data. Thus, the knowledge about the user, the adopted device and the environment, altogether called context, has to be taken into account in order to minimize the amount of information imported on mobile devices. The Context-ADDICT (Context-Aware Data Design, Integration, Customization and Tailoring) project aims at the definition of a complete framework which, starting from a methodology for the early design phases, supports mobile users through the dynamic hooking and integration of new, available information sources, so that an appropriate context-based portion of data, called data chunk, is delivered to their mobile devices. Data tailoring is needed because of two main reasons: the first is to keep the amount of information manageable, in order for the user not to be confused by too much, possibly noisy, information; the second is the frequent case when the mobile device is a small one, like a palm computer or a cellular phone, and thus only the most significant information must be kept on board. Context is, thus, key metainformation whose role becomes essential within the process of view design. Two main design-time activities are supported by our system in order to provide context-aware data filtering: 1) context design, based on a context model called context dimension tree and 2) definition of the relationship between each context and relevant portions of the application domain data.","PeriodicalId":393767,"journal":{"name":"2007 International Conference on Mobile Data Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131363690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

A Comparison of Spatial Generalization Algorithms for LBS Privacy Preservation LBS隐私保护的空间泛化算法比较

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.54

S. Mascetti, C. Bettini

引用次数: 47

Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks 面向无线传感器网络的分布式节能自适应聚类协议

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.69

Udit Sajjanhar, Pabitra Mitra

引用次数: 58

Privacy in Location-Based Services: State-of-the-Art and Research Directions 基于位置的服务中的隐私:现状与研究方向

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.45

M. Mokbel

{"title":"Privacy in Location-Based Services: State-of-the-Art and Research Directions","authors":"M. Mokbel","doi":"10.1109/MDM.2007.45","DOIUrl":"https://doi.org/10.1109/MDM.2007.45","url":null,"abstract":"The explosive growth of location-detection devices (e.g., GPS-like devices and handheld devices) along with wireless communications and mobile databases results in realizing location-based applications that deliver specific information to their users based on their current locations. Examples of such applications include location-based store finder, location-based traffic reports, and location-based advertisements. Although location-based services promise safety and convenience, they threaten the privacy and security of users as such services explicitly require users to share private location information with the service. If a user wants to keep her location information private, she has to turn off her location-aware device and temporarily unsubscribe from the service. Recent studies show that such privacy concerns - ranging from worries over employers snooping on their workers' whereabouts to fears of tracking by potential stalkers - are a serious obstacle to wider adoption of location-based services. This article aims to provide practitioners, researchers, and graduate students with the state of the art and major research issues in the important and practical research area of location privacy. In general, the tutorial is divided into the following five parts: (1) legislative issues and privacy concerns, (2) location privacy in mobile environments, (3) privacy attack models, (4) privacy-aware location query processing; (5) concluding remarks.","PeriodicalId":393767,"journal":{"name":"2007 International Conference on Mobile Data Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 86

Privacy Preserving Computation of Shortest Path in Presence of a Single Convex Polygonal Obstacle 存在单个凸多边形障碍时最短路径的隐私保护计算

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.52

Ananda Swarup, Das Kannan, Srinathan Ritesh, Kumar Tiwari

引用次数: 2

Phenomenon-Aware Stream Query Processing 现象感知流查询处理

2007 International Conference on Mobile Data Management Pub Date : 2007-05-01 DOI: 10.1109/MDM.2007.11

Mohamed H. Ali, M. Mokbel, Walid G. Aref

{"title":"Phenomenon-Aware Stream Query Processing","authors":"Mohamed H. Ali, M. Mokbel, Walid G. Aref","doi":"10.1109/MDM.2007.11","DOIUrl":"https://doi.org/10.1109/MDM.2007.11","url":null,"abstract":"Spatio-temporal data streams that are generated from mobile stream sources (e.g., mobile sensors) experience similar environmental conditions that result in distinct phenomena. Several research efforts are dedicated to detect and track various phenomena inside a data stream management system (DSMS). In this paper, we use the detected phenomena to reduce the demand on the DSMS resources. The main idea is to let the query processor observe the input data streams at the phenomena level. Then, each incoming continuous query is directed only to those phenomena that participate in the query answer. Two levels of indexing are employed, a phenomenon index and a query index. The phenomenon index provides a fine resolution view of the input streams that participate in a particular phenomenon. The query index utilizes the phenomenon index to maintain a query deployment map in which each input stream is aware of the set of continuous queries that the stream contributes to their answers. Both indices are updated dynamically in response to the evolving nature of phenomena and to the mobility of the stream sources. Experimental results show the efficiency of this approach with respect to the accuracy of the query result and the resource utilization of the DSMS.","PeriodicalId":393767,"journal":{"name":"2007 International Conference on Mobile Data Management","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133798233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9