The 25th Annual International Conference on Mobile Computing and Networking最新文献_第4页

FLUID: Multi-device Mobile Platform for Flexible User Interface Distribution FLUID:灵活用户界面分发的多设备移动平台

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343366

Sangeun Oh, Ahyeon Kim, Sunjae Lee, Kilho Lee, Dae R. Jeong, Steven Y. Ko, I. Shin

引用次数: 2

Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks 海报:基于机器学习的车辆自组织网络混合信任管理启发式算法

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343404

S. A. Siddiqui, A. Mahmood, Wei Emma Zhang, Quan Z. Sheng

{"title":"Poster: A Machine Learning based Hybrid Trust Management Heuristic for Vehicular Ad hoc Networks","authors":"S. A. Siddiqui, A. Mahmood, Wei Emma Zhang, Quan Z. Sheng","doi":"10.1145/3300061.3343404","DOIUrl":"https://doi.org/10.1145/3300061.3343404","url":null,"abstract":"Over the past few decades, Vehicular Ad hoc Networks have attracted the attention of numerous researchers from both academia and industry. Today, this promising wireless communication technology plays an indispensable role as vehicles exchange low-latent safety critical messages with one another in a bid to make the road traffic more safer, efficient, and convenient. However, dissemination of malicious messages within the network not only significantly reduces the network performance but also becomes a source of threat for the passengers and vulnerable pedestrians. Accordingly, a number of trust models have been recently proposed in the literature to ensure the identification and elimination of malicious vehicles from the network. These trust models primarily rely on the aggregation of both direct and indirect observations and evict the malicious vehicles based on a particular threshold set on this composite trust value. Nevertheless, setting-up of this threshold poses a significant challenge especially owing to diverse influential factors in such a dynamic and distributed networking environment. To this end, in this manuscript, machine learning has been employed to compute the aggregate trust score for flagging and evicting of the malicious vehicles from a vehicular network. It is evident from the simulated results that the devised method is both accurate and scalable.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134631377","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

Poster: Secure Visible Light Communication based on Nonlinearity of Spatial Frequency in Light 海报:基于光空间频率非线性的安全可见光通信

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343391

Hao Pan, Lanqing Yang, Yi-Chao Chen, Guangtao Xue, Chuang-Wen You, Xiaoyu Ji, Pai-Yen Chen

{"title":"Poster: Secure Visible Light Communication based on Nonlinearity of Spatial Frequency in Light","authors":"Hao Pan, Lanqing Yang, Yi-Chao Chen, Guangtao Xue, Chuang-Wen You, Xiaoyu Ji, Pai-Yen Chen","doi":"10.1145/3300061.3343391","DOIUrl":"https://doi.org/10.1145/3300061.3343391","url":null,"abstract":"Quick response (QR) codes are becoming pervasive due to their rapid readability and the popularity of smartphones with built-in cameras. QR codes are also gaining importance in the retail sector as a convenient mobile payment method. However, researchers have concerns regarding the security of QR codes, which leave users susceptible to financial loss or private information leakage. In this study, we address this issue by developing a novel QR code (called mQR code), which exploits patterns presenting a specific spatial frequency as a form of camouflage. When the targeted receiver holds a camera in a designated position (e.g., directly in front at a distance of 30 cm from the camouflaged QR code), the original QR code is revealed in form of a Moiré pattern. From any other position, only the camouflaged QR code can be seen. In experiments, the decryption rate of mQR codes is $> 98%$. The decryption rate for cameras positioned $20degree$ off axis or $> 10cm$ from the designated location drops to $0%$, indicating that any attackers will be unable to steal a usable image.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123698360","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: 0

eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear eBP:一种可穿戴系统，用于用户耳中频繁舒适的血压监测

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3345454

Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Anh-Hoang Truong, Taeho Kim, N. Farrow, Anh Nguyen, Jianliang Xiao, R. Deterding, Thang N. Dinh, Tam N. Vu

{"title":"eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User's Ear","authors":"Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Anh-Hoang Truong, Taeho Kim, N. Farrow, Anh Nguyen, Jianliang Xiao, R. Deterding, Thang N. Dinh, Tam N. Vu","doi":"10.1145/3300061.3345454","DOIUrl":"https://doi.org/10.1145/3300061.3345454","url":null,"abstract":"Frequent blood pressure (BP) assessment is key to the diagnosis and treatment of many severe diseases, such as heart failure, kidney failure, hypertension, and hemodialysis. Current \"gold-standard'' BP measurement techniques require the complete blockage of blood flow, which causes discomfort and disruption to normal activity when the assessment is done repetitively and frequently. Unfortunately, patients with hypertension or hemodialysis often have to get their BP measured every 15 minutes for a duration of 4-5 hours or more. The discomfort of wearing a cumbersome and limited mobility device affects their normal activities. In this work, we propose a device called eBP to measure BP from inside the user's ear aiming to minimize the measurement's impact on users' normal activities while maximizing its comfort level. eBP has 3 key components: (1) a light-based pulse sensor attached on an inflatable pipe that goes inside the ear, (2) a digital air pump with a fine controller, and (3) a BP estimation algorithm. In contrast to existing devices, eBP introduces a novel technique that eliminates the need to block the blood flow inside the ear, which alleviates the user's discomfort. We prototyped eBP custom hardware and software and evaluated the system through a comparative study on 35 subjects. The study shows that eBP obtains the average error of 1.8 mmHg and -3.1 mmHg and a standard deviation error of 7.2 mmHg and 7.9 mmHg for systolic (high-pressure value) and diastolic (low-pressure value), respectively. These errors are around the acceptable margins regulated by the FDA's AAMI protocol, which allows mean errors of up to 5 mmHg and a standard deviation of up to 8 mmHg.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125935528","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: 61

Demo: The Design and Implementation of Intelligent Software Defined Security Framework 演示:智能软件定义安全框架的设计与实现

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343365

Shasha Zhang, Shuyu Song, Fan Yang, Rongpeng Li, Zhifeng Zhao, Honggang Zhang

引用次数: 0

Diagnosing Vehicles with Automotive Batteries 用汽车电池诊断车辆

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300126

Liang He, L. Kong, Ziyang Liu, Yuanchao Shu, Cong Liu

{"title":"Diagnosing Vehicles with Automotive Batteries","authors":"Liang He, L. Kong, Ziyang Liu, Yuanchao Shu, Cong Liu","doi":"10.1145/3300061.3300126","DOIUrl":"https://doi.org/10.1145/3300061.3300126","url":null,"abstract":"The automotive industry is increasingly employing software- based solutions to provide value-added features on vehicles, especially with the coming era of electric vehicles and autonomous driving. The ever-increasing cyber components of vehicles (i.e., computation, communication, and control), however, incur new risks of anomalies, as demonstrated by the millions of vehicles recalled by different manufactures. To mitigate these risks, we design B-Diag, a battery-based diagnostics system that guards vehicles against anomalies with a cyber-physical approach, and implement B-Diag as an add-on module of commodity vehicles attached to automotive batteries, thus providing vehicles an additional layer of protection. B-Diag is inspired by the fact that the automotive battery operates in strong dependency with many physical components of the vehicle, which is observable as correlations between battery voltage and the vehicle's corresponding operational parameters, e.g., a faster revolutions-per-minute (RPM) of the engine, in general, leads to a higher battery voltage. B-Diag exploits such physically-induced correlations to diagnose vehicles by cross-validating the vehicle information with battery voltage, based on a set of data-driven norm models constructed online. Such a design of B-Diag is steered by a dataset collected with a prototype system when driving a 2018 Subaru Crosstrek in real-life over 3 months, covering a total mileage of about 1, 400 miles. Besides the Crosstrek, we have also evaluated B-Diag with driving traces of a 2008 Honda Fit, a 2018 Volvo XC60, and a 2017 Volkswagen Passat, showing B-Diag detects vehicle anomalies with >86% (up to 99%) averaged detection rate.","PeriodicalId":223523,"journal":{"name":"The 25th Annual International Conference on Mobile Computing and Networking","volume":"531 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123099335","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

Jigsaw 拼图

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300127

Ghufran Baig, Jian He, M. Qureshi, Lili Qiu, Guohai Chen, Peng Chen, Yinliang Hu

引用次数: 22

Demo: TinySDR, A Software-Defined Radio Platform for Internet of Things 演示:TinySDR，软件定义的物联网无线电平台

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3343373

Mehrdad Hessar, A. Najafi, Vikram Iyer, Shyamnath Gollakota

引用次数: 3

On-Off Noise Power Communication 开关噪声电源通信

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3345436

Philip Lundrigan, Neal Patwari, S. Kasera

引用次数: 5

Detecting if LTE is the Bottleneck with BurstTracker 用BurstTracker检测LTE是否是瓶颈

The 25th Annual International Conference on Mobile Computing and Networking Pub Date : 2019-08-05 DOI: 10.1145/3300061.3300140

Arjun Balasingam, M. Bansal, Rakesh Misra, Kanthi Nagaraj, R. Tandra, S. Katti, Aaron Schulman

引用次数: 25