2017 IEEE International Workshop on Measurement and Networking (M&N)最新文献

Analysis of localization technologies for indoor environment 室内环境定位技术分析

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078385

L. Angrisani, P. Arpaia, Daniele Gatti

引用次数: 10

Towards accurate detection of obfuscated web tracking 对模糊网页跟踪的准确检测

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078365

Hoan Le, Federico Fallace, P. Barlet-Ros

{"title":"Towards accurate detection of obfuscated web tracking","authors":"Hoan Le, Federico Fallace, P. Barlet-Ros","doi":"10.1109/IWMN.2017.8078365","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078365","url":null,"abstract":"Web tracking is currently recognized as one of the most important privacy threats on the Internet. Over the last years, many methodologies have been developed to uncover web trackers. Most of them are based on static code analysis and the use of predefined blacklists. However, our main hypothesis is that web tracking has started to use obfuscated programming, a transformation of code that renders previous detection methodologies ineffective and easy to evade. In this paper, we propose a new methodology based on dynamic code analysis that monitors the actual JavaScript calls made by the browser and compares them to the original source code of the website in order to detect obfuscated tracking. The main advantage of this approach is that detection cannot be evaded by code obfuscation. We applied this methodology to detect the use of canvas-font tracking and canvas fingerprinting on the top-10K most visited websites according to Alexa's ranking. Canvas-based tracking is a fingerprinting method based on JavaScript that uses the HTML5 canvas element to uniquely identify a user. Our results show that 10.44% of the top-10K websites use canvas-based tracking (canvas-font and canvas fingerprinting), while obfuscation was used in 2.25% of them. These results confirm our initial hypothesis that obfuscated programming in web tracking is already in use. Finally, we argue that canvas-based tracking can be more present in secondary pages than in the home page of websites.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067991","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: 15

Quick-response coding system for tracking rehabilitation treatments in clinical setting 用于临床康复治疗跟踪的快速响应编码系统

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078362

G. D'Addio, A. Smarra, A. Biancardi, M. Cesarelli, P. Arpaia

引用次数: 0

An investigation on an interference filtering technique for array diagnosis using sparsity 基于稀疏性的阵列诊断干扰滤波技术研究

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078367

M. Migliore, L. L. Coq, B. Fuchs

引用次数: 0

A wearable device for sport performance analysis and monitoring 一种用于运动表现分析和监测的可穿戴设备

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078375

R. Iervolino, F. Bonavolontã, A. Cavallari

引用次数: 15

A crowdfunded personal air quality monitor infrastructure for active life applications 众筹个人空气质量监测基础设施，用于积极生活应用

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078372

S. D. Vito, F. Formisano, A. Agresto, E. Esposito, E. Massera, M. Salvato, G. Fattoruso, G. Francia, S. Fiore

引用次数: 3

Low-power smart sensing in energy and water systems integration 能源和水系统集成中的低功耗智能传感

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078408

A. Espírito-Santo, P. Serra, S. Albuquerque, B. Ribeiro, F. Santos, J. Páscoa

引用次数: 8

Analysis of path stability within autonomous systems 自治系统内路径稳定性分析

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078364

M. A. Canbaz, Khalid Bakhshaliyev, M. H. Gunes

{"title":"Analysis of path stability within autonomous systems","authors":"M. A. Canbaz, Khalid Bakhshaliyev, M. H. Gunes","doi":"10.1109/IWMN.2017.8078364","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078364","url":null,"abstract":"Interactive and multimedia applications depend on the stability of end-to-end paths on the Internet for predictable performance and good quality of service. On the other hand, network providers depend on multiple paths to ensure fault tolerance and use load balancing between these paths to enhance the overall network throughput. In this study, we analyze the path dynamics within service providers' networks using a month of measurement data from the RIPE Atlas platform which collects path traces between a source and a destination pair approximately every 15 minutes. Determining path segments belonging to each Autonomous System (AS), we explore ingress to egress paths of an AS in addition to source to destination paths within the AS. We observe that 13.2% of ASes contain routing loops within their network indicating mis-configuration of routers. Couple of ASes had over a million loops with over 100 routers causing loops in path traces. Additionally, 77.6% of end-to-end routes have at least two alternative AS paths with some end-to-end routes going through hundreds of different AS paths. Analyzing trace segments between ingresses and egresses of an AS, we realized more than a third of the backbone ASes have consistent routing between any node pair, but others implement load balancing or have inconsistent routing policies across their network.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131884822","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: 8

First step towards a cost-effective lot platform for customers power consumption awareness 向高性价比的批量平台迈出第一步，提高客户的能耗意识

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078388

L. Angrisani, P. Arpaia, F. Bonavolontà, A. Liccardo, R. S. L. Moriello

引用次数: 4

A software architecture for generic human activity recognition from smartphone sensor data 基于智能手机传感器数据的通用人类活动识别软件架构

2017 IEEE International Workshop on Measurement and Networking (M&N) Pub Date : 2017-09-01 DOI: 10.1109/IWMN.2017.8078368

Alberto Testoni, M. D. Felice

{"title":"A software architecture for generic human activity recognition from smartphone sensor data","authors":"Alberto Testoni, M. D. Felice","doi":"10.1109/IWMN.2017.8078368","DOIUrl":"https://doi.org/10.1109/IWMN.2017.8078368","url":null,"abstract":"In these last few years, several recent studies have demonstrated the possibility to perform Human Activity Recognition (HAR) by smartphone sensor data, enabling in this way a new generation of context-aware mobile applications. Smartphone-based HAR systems can exploit the full set of embedded sensors beside the accelerometer in order to increase the accuracy of the detection process. At the same time, the practical deployment of such systems can result highly challenging since it must cope with the limited computational resources and the battery constraints of the mobile devices. In this paper, we address such issues by proposing a novel, generic HAR architecture for Android devices. The system design takes into account the energy constraints by: (i) limiting the number of sensors/features used for the recognition process, while still guaranteeing satisfactory performance in terms of activity detection; (ii) allocating the most CPU intensive tasks, like the training and data processing phases, on an external server. At the same time, the system operations automatize the full learning process, simply notifying the user when a new classification model has been installed on the client. We validate the proposed HAR systems on two use-cases, i.e. transportation mode detection and walking mode detection, and we describe an application for indoor floor detection. Measurements show that the overall accuracy of the activity recognition process can be up to 90% for both the use-cases.","PeriodicalId":201479,"journal":{"name":"2017 IEEE International Workshop on Measurement and Networking (M&N)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126556980","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