2015 IEEE International Conference on Mobile Services最新文献_第3页

An Empirical Analysis of Contemporary Android Mobile Vulnerability Market 当代Android手机漏洞市场的实证分析

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.34

Keman Huang, Jia Zhang, Wei Tan, Zhiyong Feng

引用次数: 6

Link Peek: A Link Outage Resilient IP Packet Forwarding Mechanism for 6LoWPAN/RPL Based Low-Power and Lossy Networks (LLNs) Link Peek:基于6LoWPAN/RPL的低功耗损耗网络(lln)的链路中断弹性IP包转发机制

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.19

Y. Lohith, S. Narasimman, S. Anand, M. Hegde

{"title":"Link Peek: A Link Outage Resilient IP Packet Forwarding Mechanism for 6LoWPAN/RPL Based Low-Power and Lossy Networks (LLNs)","authors":"Y. Lohith, S. Narasimman, S. Anand, M. Hegde","doi":"10.1109/MobServ.2015.19","DOIUrl":"https://doi.org/10.1109/MobServ.2015.19","url":null,"abstract":"Packets traversing through a multi-hop Low-power and Lossy Network (LLN) experience various link outage conditions in transit that can lead to packet loss at an intermediate relay node. Motivated by the problem of providing high Packet Delivery Ratio (PDR) in the LLNs running RPL(Routing Protocol for Low-power and Lossy Networks) routing protocol, we implemented a lightweight add-on functionality to the network layer's packet forwarding mechanism, Link Peek, in which the forwarding node iteratively retransmits the packet to its alternate/next best parent belonging to the same RPL DODAG(Destination Oriented Directed A cyclic Graph) instance whenever IEEE 802.15.4 MAC layer retransmission count set by our mechanism for the current best parent is exceeded. With this simple reactive and successive retry mechanism, our experimentation has shown significant performance gain in terms of achieving high PDRs, even at higher data rates, over the LLNs under different operating environments. We implemented Link Peek over the Contiki RPL protocol stack. We describe the implementation details and discuss various tunable parameters that affect the network performance. The Cooja simulation and real-world physical test bed experimentation with link outage environment showed PDRs > 99.40% with Link Peek as against the PDRs of 76-90% obtained using the native network stack implementation. Through the experimental results we demonstrate the effectiveness of our approach in supporting higher data rates even in node mobility scenarios.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"20 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":"130294765","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

P2P Key-Value Storage Synchronization Workflow for Agronomic Data Management 用于农艺数据管理的P2P键值存储同步工作流

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.61

Richard K. Lomotey, Sinh Pham, Wen Fu, R. Deters

{"title":"P2P Key-Value Storage Synchronization Workflow for Agronomic Data Management","authors":"Richard K. Lomotey, Sinh Pham, Wen Fu, R. Deters","doi":"10.1109/MobServ.2015.61","DOIUrl":"https://doi.org/10.1109/MobServ.2015.61","url":null,"abstract":"The use of mobile devices such as smartphones, tablets, smart watches and notebooks in the agriculture sector is gaining significant popularity. Through mobile technologies, farmers are aided to quickly and easily communicate, advertise goods and services, as well as accessing agronomic data in soft-real time. Though mobile devices are a good source of agronomic information access and dissemination, the over-dependence on wireless communication protocols for communication is a bit of a challenge. Due to the mobility of farmers, the wireless networks can experience bandwidth fluctuations and that can hamper data transfer and management in mobile-server (cloud) ecosystems. To address this issue, previous works propose mobile data storage to support information access in an offline mode. However, the question of how to efficiently management the data state on the mobile is under-studied. In this work, we proposed a mobile-cloud architecture that enables farmers to manage data transfer and storage of agronomic data on their mobile devices in the face of the network challenges. Three different P2P Key-Value Storage methodologies are presented which are: 1) Bloom Filters algorithm, 2) whole state data transfer, and 3) exchange of delta (updates) only. The whole state data transfer is only recommended when there is stable wireless connection.","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":"134395053","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: 2

Linked Enterprise Data Model and Its Use in Real Time Analytics and Context-Driven Data Discovery 关联企业数据模型及其在实时分析和上下文驱动数据发现中的应用

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.47

Kunal Taneja, Qian Zhu, Desmond Duggan, Teresa Tung

{"title":"Linked Enterprise Data Model and Its Use in Real Time Analytics and Context-Driven Data Discovery","authors":"Kunal Taneja, Qian Zhu, Desmond Duggan, Teresa Tung","doi":"10.1109/MobServ.2015.47","DOIUrl":"https://doi.org/10.1109/MobServ.2015.47","url":null,"abstract":"Traditional approaches for managing enterprise data revolve around a batch driven Extract Transform Load process, a one size fits all approach for storage, and an application architecture that is tightly coupled to the underlying data infrastructure. The emergence of Big Data technologies have led to the creation of alternate instantiations of the traditional approach, one where the storage systems have moved from relational databases to NoSQL technologies like HDFS. This approach to data management has been found wanting as enterprises begin to deal with complex and heterogeneous data, especially in the area of Internet of Things (IoT). IoT environments are characterized by data producers and data processing requirements. In this paper, we articulate the shortcomings of traditional approaches to data management in the context of IoT. We identify the challenges brought forth due to content heterogeneity, requirements of scale, and robustness of ETL processes, and the need to rapidly onboard and support multiple applications such as analytics. Our approach introduces the Linked Enterprise Data Model (LEDM), a knowledge representation approach derived from Linked Data for modeling and linking the disparate aspects of data infrastructure. We leverage this model in developing a scalable and robust ETL framework. The framework adopts the Lambda architecture approach and supports both stream and batch processing of incoming data. We build this capability for the streaming leg of the Lambda architecture comprising of Amazon Kinesis, Apache Spark Streaming, and Amazon Dynamo.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"44 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":"133011873","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

Urban Mobility Sensing Analysis through a Layered Sensing Approach 基于分层感知方法的城市交通感知分析

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.50

Kássio Machado, Thiago H. Silva, Pedro O. S. Vaz de Melo, E. Cerqueira, A. Loureiro

引用次数: 8

Mobile Cloud Enabled Sensor Services: Opportunities, Challenges and Approaches 移动云传感器服务:机遇、挑战和方法

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.77

Victor J. Lawson, Vinay Kumar, Lakshmish Ramaswamy

引用次数: 1

Efficient Service-Oriented Encapsulation of Multi-granularity Heterogeneous Resources 面向服务的多粒度异构资源高效封装

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.58

Kun You, Zhide Xun, Feng Ding

引用次数: 0

Secu Wear: An Open Source, Multi-component Hardware/Software Platform for Exploring Wearable Security 安全穿戴:探索可穿戴安全性的开源、多组件硬件/软件平台

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.23

M. Hale, Dalton Ellis, R. Gamble, Charles Walter, Jessica Lin

{"title":"Secu Wear: An Open Source, Multi-component Hardware/Software Platform for Exploring Wearable Security","authors":"M. Hale, Dalton Ellis, R. Gamble, Charles Walter, Jessica Lin","doi":"10.1109/MobServ.2015.23","DOIUrl":"https://doi.org/10.1109/MobServ.2015.23","url":null,"abstract":"Wearables are the next big development in the mobile internet of things. Operating in a body area network around a smartphone user they serve a variety of commercial, medical, and personal uses. Whether used for fitness tracking, mobile health monitoring, or as remote controllers, wearable devices can include sensors that collect a variety of data and actuators that provide hap tic feedback and unique user interfaces for controlling software and hardware. Wearables are typically wireless and use Bluetooth LE (low energy) to transmit data to a waiting smartphone app. Frequently, apps forward this data onward to online web servers for tracking. Security and privacy concerns abound when wearables capture sensitive data or provide critical functionality. This paper develops a platform, called SecuWear, for conducting wearable security research, collecting data, and identifying vulnerabilities in hardware and software. SecuWear combines open source technologies to enable researchers to rapidly prototype security vulnerability test cases, evaluate them on actual hardware, and analyze the results to understand how best to mitigate problems. The paper includes two types of evaluation in the form of a comparative analysis and empirical study. The results reveal how several passive observation attacks present themselves in wearable applications and how the SecuWear platform can capture the necessary information needed to identify and combat such attacks.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"71 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":"127670686","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: 21

Smart Fabric - An Infrastructure-Agnostic Artifact Topology Deployment Framework 智能结构——一个与基础设施无关的工件拓扑部署框架

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.52

Johannes M. Schleicher, Michael Vögler, Christian Inzinger, S. Dustdar

{"title":"Smart Fabric - An Infrastructure-Agnostic Artifact Topology Deployment Framework","authors":"Johannes M. Schleicher, Michael Vögler, Christian Inzinger, S. Dustdar","doi":"10.1109/MobServ.2015.52","DOIUrl":"https://doi.org/10.1109/MobServ.2015.52","url":null,"abstract":"The cloud computing paradigm enables the development of applications that can elastically react to changes in their environment by autonomously provisioning and releasing infrastructure resources. However, current applications need to be specifically tailored to a concrete cloud provider infrastructure, leading to vendor lock-in. Migrating applications to the cloud or between cloud providers is challenging due to differences in deployment directives, available services, and programming interfaces. Existing infrastructure as code approaches closely tie application artifacts to their deployment directives and do not allow for a clear separation of application artifacts from deployment infrastructure. In this paper, we present Smart Fabric, a methodology and accompanying toolset for infrastructure-agnostic deployment of application artifact topologies based on a constraint-based, declarative specification of the required deployment infrastructure. Our framework allows for seamless migration of application topologies between deployment targets and enables independent, parallel evolution of both, applications and underlying infrastructure. We discuss the feasibility of the proposed methodology and prototype implementation using representative applications from the Internet of Things and smart city domains.","PeriodicalId":166267,"journal":{"name":"2015 IEEE International Conference on Mobile Services","volume":"2 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":"128070674","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: 13

An IoT Service Framework for Smart Home: Case Study on HEM 面向智能家居的物联网服务框架:以HEM为例

2015 IEEE International Conference on Mobile Services Pub Date : 2015-06-27 DOI: 10.1109/MobServ.2015.66

Xue Li, Lanshun Nie, Shuo Chen, D. Zhan, Xiaofei Xu

引用次数: 11