Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services最新文献

BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring BodyScan:在可穿戴设备上实现基于无线电的传感，用于非接触活动和生命体征监测

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906411

Biyi Fang, N. Lane, Mi Zhang, Aidan Boran, F. Kawsar

{"title":"BodyScan: Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring","authors":"Biyi Fang, N. Lane, Mi Zhang, Aidan Boran, F. Kawsar","doi":"10.1145/2906388.2906411","DOIUrl":"https://doi.org/10.1145/2906388.2906411","url":null,"abstract":"Wearable devices are increasingly becoming mainstream consumer products carried by millions of consumers. However, the potential impact of these devices is currently constrained by fundamental limitations of their built-in sensors. In this paper, we introduce radio as a new powerful sensing modality for wearable devices and propose to transform radio into a mobile sensor of human activities and vital signs. We present BodyScan, a wearable system that enables radio to act as a single modality capable of providing whole-body continuous sensing of the user. BodyScan overcomes key limitations of existing wearable devices by providing a contactless and privacy-preserving approach to capturing a rich variety of human activities and vital sign information. Our prototype design of BodyScan is comprised of two components: one worn on the hip and the other worn on the wrist, and is inspired by the increasingly prevalent scenario where a user carries a smartphone while also wearing a wristband/smartwatch. This prototype can support daily usage with one single charge per day. Experimental results show that in controlled settings, BodyScan can recognize a diverse set of human activities while also estimating the user's breathing rate with high accuracy. Even in very challenging real-world settings, BodyScan can still infer activities with an average accuracy above 60% and monitor breathing rate information a reasonable amount of time during each day.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874801","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: 93

The Design and Implementation of a Mobile RFID Tag Sorting Robot 移动RFID标签分拣机器人的设计与实现

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906417

Longfei Shangguan, K. Jamieson

{"title":"The Design and Implementation of a Mobile RFID Tag Sorting Robot","authors":"Longfei Shangguan, K. Jamieson","doi":"10.1145/2906388.2906417","DOIUrl":"https://doi.org/10.1145/2906388.2906417","url":null,"abstract":"Libraries, manufacturing lines, and offices of the future all stand to benefit from knowing the exact spatial order of RFID-tagged books, components, and folders, respectively. To this end, radio-based localization has demonstrated the potential for high accuracy. Key enabling ideas include motion-based synthetic aperture radar, multipath detection, and the use of different frequencies (channels). But indoors in real-world situations, current systems often fall short of the mark, mainly because of the prevalence and strength of multipath reflections of the radio signal off nearby objects. In this paper we describe the design and implementation of MobiTagbot, an autonomous wheeled robot reader that conducts a roving survey of the above such areas to achieve an exact spatial order of RFID-tagged objects in very close (1--6 cm) spacings. Our approach leverages a serendipitous correlation between the changes in multipath reflections that occur with motion and the effect of changing the carrier frequency (channel) of the RFID query. By carefully observing the relationship between channel and phase, MobiTagbot detects if multipath is likely prevalent at a given robot reader location. If so, MobiTagbot excludes phase readings from that reader location, and generates a final location estimate using phase readings from other locations as the robot reader moves in space. Experimentally, we demonstrate that cutting-edge localization algorithms including Tagoram are not accurate enough to exactly order items in very close proximity, but MobiTagbot is, achieving nearly 100% ordering accuracy for items at low (3--6 cm) spacings and 86% accuracy for items at very low (1--3 cm) spacings.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134177787","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: 164

Listening through a Vibration Motor 通过振动马达收听

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906415

Nirupam Roy, Romit Roy Choudhury

引用次数: 42

Session details: Session III: Next Gen Mobile OS 会议详情:第三部分:下一代移动操作系统

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/3257198

J. Flinn

引用次数: 0

Session details: Session II: Frontiers in Sensing 会议详情:第二部分:传感领域

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/3257197

D. Kotz

引用次数: 0

CASE: Comprehensive Application Security Enforcement on COTS Mobile Devices 案例:商用现货移动设备上的综合应用安全执行

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906413

Suwen Zhu, Long Lu, Kapil Singh

{"title":"CASE: Comprehensive Application Security Enforcement on COTS Mobile Devices","authors":"Suwen Zhu, Long Lu, Kapil Singh","doi":"10.1145/2906388.2906413","DOIUrl":"https://doi.org/10.1145/2906388.2906413","url":null,"abstract":"Without violating existing app security enforcement, malicious modules inside apps, such as a library or an external class, can steal private data and abuse sensitive capabilities meant for other modules inside the same apps. These so-called \"module-level attacks\" are quickly emerging, fueled by the pervasive use of third-party code in apps and the lack of module-level security enforcement on mobile platforms. To systematically thwart the threats, we build CASE, an automatic app patching tool used by app developers to enable module-level security in their apps built for COTS Android devices. During runtime, patched apps enforce developer-supplied security policies that regulate interactions among modules at the granularity of a Java class. Requiring no changes or special support from the Android OS, the enforcement is complete in covering inter-module crossings in apps and is robust against malicious Java and native app modules. We evaluate CASE with 420 popular apps and a set of Android's unit tests. The results show that CASE is fully compatible with the tested apps and incurs an average performance overhead of 4.9%.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124806929","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

Understanding the Characteristics of Android Wear OS 了解Android Wear操作系统的特点

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906398

Renju Liu, F. Lin

引用次数: 33

Targeted Mimicry Attacks on Touch Input Based Implicit Authentication Schemes 基于隐式认证方案的触摸输入目标模仿攻击

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906404

Hassan Khan, U. Hengartner, Daniel Vogel

{"title":"Targeted Mimicry Attacks on Touch Input Based Implicit Authentication Schemes","authors":"Hassan Khan, U. Hengartner, Daniel Vogel","doi":"10.1145/2906388.2906404","DOIUrl":"https://doi.org/10.1145/2906388.2906404","url":null,"abstract":"Touch input implicit authentication (``touch IA'') employs behavioural biometrics like touch location and pressure to continuously and transparently authenticate smartphone users. We provide the first ever evaluation of targeted mimicry attacks on touch IA and show that it fails against shoulder surfing and offline training attacks. Based on experiments with three diverse touch IA schemes and 256 unique attacker-victim pairs, we show that shoulder surfing attacks have a bypass success rate of 84% with the majority of successful attackers observing the victim's behaviour for less than two minutes. Therefore, the accepted assumption that shoulder surfing attacks on touch IA are infeasible due to the hidden nature of some features is incorrect. For offline training attacks, we created an open-source training app for attackers to train on their victims' touch data. With this training, attackers achieved bypass success rates of 86%, even with only partial knowledge of the underlying features used by the IA scheme. Previous work failed to find these severe vulnerabilities due to its focus on random, non-targeted attacks. Our work demonstrates the importance of considering targeted mimicry attacks to evaluate the security of an implicit authentication scheme. Based on our results, we conclude that touch IA is unsuitable from a security standpoint.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126239612","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: 47

Characterizing and Improving WiFi Latency in Large-Scale Operational Networks 大规模运营网络中WiFi延迟的表征与改进

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906393

Kaixin Sui, Mengyu Zhou, Dapeng Liu, Minghua Ma, Dan Pei, Youjian Zhao, Zimu Li, T. Moscibroda

{"title":"Characterizing and Improving WiFi Latency in Large-Scale Operational Networks","authors":"Kaixin Sui, Mengyu Zhou, Dapeng Liu, Minghua Ma, Dan Pei, Youjian Zhao, Zimu Li, T. Moscibroda","doi":"10.1145/2906388.2906393","DOIUrl":"https://doi.org/10.1145/2906388.2906393","url":null,"abstract":"WiFi latency is a key factor impacting the user experience of modern mobile applications, but it has not been well studied at large scale. In this paper, we design and deploy WiFiSeer, a framework to measure and characterize WiFi latency at large scale. WiFiSeer comprises a systematic methodology for modeling the complex relationships between WiFi latency and a diverse set of WiFi performance metrics, device characteristics, and environmental factors. WiFiSeer was deployed on Tsinghua campus to conduct a WiFi latency measurement study of unprecedented scale with more than 47,000 unique user devices. We observe that WiFi latency follows a long tail distribution and the 90th (99th) percentile is around 20 ms (250 ms). Furthermore, our measurement results quantitatively confirm some anecdotal perceptions about impacting factors and disapprove others. We deploy three practical solutions for improving WiFi latency in Tsinghua, and the results show significantly improved WiFi latencies. In particular, over 1,000 devices use our AP selection service based on a predictive WiFi latency model for 2.5 months, and 72% of their latencies are reduced by over half after they re-associate to the suggested APs.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"61 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132670970","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: 96

I am a Smartwatch and I can Track my User's Arm 我是一块智能手表，我可以追踪用户的手臂

Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services Pub Date : 2016-06-20 DOI: 10.1145/2906388.2906407

Sheng Shen, He Wang, Romit Roy Choudhury

{"title":"I am a Smartwatch and I can Track my User's Arm","authors":"Sheng Shen, He Wang, Romit Roy Choudhury","doi":"10.1145/2906388.2906407","DOIUrl":"https://doi.org/10.1145/2906388.2906407","url":null,"abstract":"This paper aims to track the 3D posture of the entire arm - both wrist and elbow - using the motion and magnetic sensors on smartwatches. We do not intend to employ machine learning to train the system on a specific set of gestures. Instead, we aim to trace the geometric motion of the arm, which can then be used as a generic platform for gesture-based applications. The problem is challenging because the arm posture is a function of both elbow and shoulder motions, whereas the watch is only a single point of (noisy) measurement from the wrist. Moreover, while other tracking systems (like indoor/outdoor localization) often benefit from maps or landmarks to occasionally reset their estimates, such opportunities are almost absent here. While this appears to be an under-constrained problem, we find that the pointing direction of the forearm is strongly coupled to the arm's posture. If the gyroscope and compass on the watch can be made to estimate this direction, the 3D search space can become smaller; the IMU sensors can then be applied to mitigate the remaining uncertainty. We leverage this observation to design ArmTrak, a system that fuses the IMU sensors and the anatomy of arm joints into a modified hidden Markov model (HMM) to continuously estimate state variables. Using Kinect 2.0 as ground truth, we achieve around 9.2 cm of median error for free-form postures; the errors increase to 13.3 cm for a real time version. We believe this is a step forward in posture tracking, and with some additional work, could become a generic underlay to various practical applications.","PeriodicalId":413230,"journal":{"name":"Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133460985","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: 180