2015 IEEE International Conference on Mobile Services最新文献_第2页

Personal Health Monitoring Using a Smartphone 使用智能手机进行个人健康监测

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.54

L. Moser, P. Melliar-Smith

引用次数: 20

Impact of HTTP Pipelining Mechanism for Web Browsing Optimization HTTP管道机制对网页浏览优化的影响

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.63

Kai Shuang, T. Zhang, Zhenjiang Dong, Peng Xu

引用次数: 3

A Mobile Matchmaker for Resource Discovery in the Ubiquitous Semantic Web 泛在语义网中资源发现的移动媒人

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.76

M. Ruta, F. Scioscia, E. Sciascio

引用次数: 6

Secure Snaps: A New Forward Secrecy Cryptosystem for Self-Destructing Messages in Mobile Services 安全快照:移动服务中自毁消息的一种新的前向保密密码系统

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.29

Yan Zhu, Liguang Yang, Di Ma

{"title":"Secure Snaps: A New Forward Secrecy Cryptosystem for Self-Destructing Messages in Mobile Services","authors":"Yan Zhu, Liguang Yang, Di Ma","doi":"10.1109/MobServ.2015.29","DOIUrl":"https://doi.org/10.1109/MobServ.2015.29","url":null,"abstract":"Recently, mobile services of ephemeral communications, such as Snapchat, are becoming increasingly popular because of their \"burn after reading\" functionality. However, recent events show that these services do not achieve the claimed functionality supporting truly self-destructing messages. In this paper, we address the problem of privacy protection in ephemeral communications involving untrusted service providers. We present SecureSnaps, a forward secrecy cryptosystem with self-destructing messages. In this system, we introduce a trusted module supervised by a trusted third party in order to ensure the security of user's private keys, so that untrusted service providers cannot access the communications among users. We take a new approach, called cryptographic counting control, to implement message's self-destruction functionality which meets the requirement for forward secrecy. By adopting this approach, no one, including the original sender, service provider, and key management module, can recover past messages once these messages have entered the \"destroyed state\". We prove that the proposed scheme is provably secure against chosen plaintext attacks. Our experiment results demonstrate its efficiency and practicality for large-size group of users.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124204222","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: 4

A Quantitative Assessment of Performance in Mobile App Development Tools 移动应用开发工具性能的定量评估

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.68

M. Willocx, Jan Vossaert, Vincent Naessens

引用次数: 36

Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research 耳鸣评估、治疗和研究的移动人群传感服务

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.55

R. Pryss, M. Reichert, B. Langguth, W. Schlee

{"title":"Mobile Crowd Sensing Services for Tinnitus Assessment, Therapy, and Research","authors":"R. Pryss, M. Reichert, B. Langguth, W. Schlee","doi":"10.1109/MobServ.2015.55","DOIUrl":"https://doi.org/10.1109/MobServ.2015.55","url":null,"abstract":"Tinnitus, the phantom sensation of sound, is a highly prevalent disorder that is difficult to treat, i.e., Available treatments are only effective for patient subgroups. Sufficiently large and qualitative longitudinal data sets, which aggregate the individuals' demographic and clinical characteristics, together with their response to specific therapeutic interventions, would therefore facilitate evidence-based treatment suggestions for individual patients. Currently, clinical trials are the standard instrument for realizing evidence-based medicine. However, the related information gathering is limited. For example, clinical trials try to reduce the complexity of the individual case by generating homogeneous groups to obtain significant results. From the latter, individual treatment decisions are inferred. A complementary approach would be to assess the effect of specific interventions in large samples considering the individual peculiarity of each subject. This allows providing individualized treatment decisions. Recently, mobile crowd sensing emerged as an approach for collecting large and ecological valid datasets at rather low costs. By providing mobile crowd sensing services to large numbers of patients, large datasets can be gathered cheaply on a daily basis. In the TrackYourTinnitus project, we implemented a mobile crowd sensing platform to reveal new medical aspects on tinnitus and its treatment. Additionally, we work on mobile services exploring approaches for understanding tinnitus and for improving its diagnostic and therapeutic management. We present the TrackYourTinnitus platform as well as its goals, architecture and preliminary results. Overall, the platform and its mobile services offer promising perspectives for tinnitus research and treatment.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115969855","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: 83

Exploiting Unique Characteristics of Mobile Backend Services to Recommend Right Ones 利用移动后端服务的独特特征来推荐合适的服务

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.70

Guangtai Liang, Lijun Mei, Shaochun Li, Liang Chen

引用次数: 0

Share Sens: An Approach to Optimizing Energy Consumption of Continuous Mobile Sensing Workloads 共享传感器:一种优化连续移动传感工作负载能耗的方法

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.22

Ahmed Abdel Moamen, Nadeem Jamali

{"title":"Share Sens: An Approach to Optimizing Energy Consumption of Continuous Mobile Sensing Workloads","authors":"Ahmed Abdel Moamen, Nadeem Jamali","doi":"10.1109/MobServ.2015.22","DOIUrl":"https://doi.org/10.1109/MobServ.2015.22","url":null,"abstract":"Smartphones and a growing number of wearable devices are equipped with a variety of powerful sensors. This has led to increased interest in developing of applications across a wide variety of domains including health-care, entertainment, environmental monitoring and transportation, which use sensor feeds to offer services. However, most of these applications require continuous sensing, which places a heavy demand on the device's typically limited battery power. This problem is further amplified as multiple applications attempt to monitor multiple sensors simultaneously. In this paper, we present ShareSens, our approach to opportunistically merge independent sensing requirements of applications. We achieve this using sensing schedulers for sensors, which determine the lowest sensing rate which would satisfy all requests, and then use custom filters to send out only the needed data to each application. Sensing requests made through the ShareSens API (which we have implemented for Android) are forwarded to the relevant schedulers which determine the optimum sensing rates to satisfy all requests. The paper presents the design and implementation of ShareSens, as well as results from our experimental work on the power savings that can be achieved by using it.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128995503","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: 22

Enabling Sensor Data Exchanges in Unstable Mobile Architectures 在不稳定的移动架构中实现传感器数据交换

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.60

Steven Xue, Richard K. Lomotey, R. Deters

{"title":"Enabling Sensor Data Exchanges in Unstable Mobile Architectures","authors":"Steven Xue, Richard K. Lomotey, R. Deters","doi":"10.1109/MobServ.2015.60","DOIUrl":"https://doi.org/10.1109/MobServ.2015.60","url":null,"abstract":"There is increasing interest from companies on the use of emerging mobile and cloud computing technologies to achieve enterprise specific tasks. Mobile devices such as smartphones, tablets, and notebooks can be used to access personalized and enterprise data. Moreover, recent launch of consumer devices such as wearable smart watches (e.g., Apple Watch) requires services and products re-alignment. More importantly, sensor capabilities of these mobile devices can be leveraged with desktops and cloud computing facilities to create next generation mobile applications that can be beneficial to enterprises such as health, agriculture, mining and so on. The challenge however is the limited and unstable wireless mediums through which these smart devices communicate. Due to this factor, data transfer can experience challenges such as high latency, data corruption, communication loss, and performance cost in terms of poor throughput. Hence, this work designed a prototypic system using the Constrained Application Protocol (CoAP) that seeks to provide speed-efficient data exchanges in a mobile-sensor-cloud ecosystem. Furthermore, a group of performance measurement experiments and conducted to understand the proposed system's performance for wireless networks. Preliminary results suggest CoAP can achieve quick I/O data response time.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128797993","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: 7

WhereAmI: Energy Efficient Positioning using Partial Textual Signatures 使用部分文本签名的节能定位

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.12

Q. D. Vo, Darius Coelho, Klaus Mueller, Pradipta De

{"title":"WhereAmI: Energy Efficient Positioning using Partial Textual Signatures","authors":"Q. D. Vo, Darius Coelho, Klaus Mueller, Pradipta De","doi":"10.1109/MobServ.2015.12","DOIUrl":"https://doi.org/10.1109/MobServ.2015.12","url":null,"abstract":"Positioning systems can use signatures hidden in a user's environment to identify a location. Images are often used to locate a place by identifying landmarks. In this work, we present the use of texts in an image to identify a user's location. The key intuition behind this work is that a collection of names of business appearing in an image forms a bag-of-words that provides a unique signature for a location. We use Optical Character Recognition (OCR) to detect the texts from an image. However, use of OCR in outdoor settings is resource intensive, and text detection is often error prone in uncontrolled settings. We develop an algorithm that can handle partial errors in the collection of business names to locate the user. Partial errors in text detection are handled by using similarity scores based on approximate text matching. We also limit the resource usage by partitioning the application between the smartphone and a cloud based web service to save energy. We have implemented the positioning system, called WhereAmI, on Android based smartphone. The experimental results show that WhereAmI can be an alternative positioning technique for GPS in terms of accuracy, precision, energy efficiency and positioning latency.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121579380","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: 4