2023 7th Network Traffic Measurement and Analysis Conference (TMA)最新文献

France Through the Lens of Mobile Traffic Data 从移动通信数据的角度看法国

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10198971

Orlando Martínez-Durive, Sachit Mishra, Cezary Ziemlicki, S. Rubrichi, Z. Smoreda, M. Fiore

引用次数: 0

An Initial Look into the Performance Evolution of 5G Non-Standalone Networks 5G非独立网络性能演进初探

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10199039

G. Caso, Mohammad Rajiullah, Konstantinos Kousias, Usman Ali, L. D. Nardis, A. Brunström, Özgü Alay, Marco Neri, Maria-Gabriella Di Benedetto

引用次数: 0

Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls 即时消息与视频会议的结合:研究即时消息视频通话的性能

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10199019

Laurenz Grote, Ike Kunze, Constantin Sander, Klaus Wehrle

{"title":"Instant Messaging Meets Video Conferencing: Studying the Performance of IM Video Calls","authors":"Laurenz Grote, Ike Kunze, Constantin Sander, Klaus Wehrle","doi":"10.23919/TMA58422.2023.10199019","DOIUrl":"https://doi.org/10.23919/TMA58422.2023.10199019","url":null,"abstract":"Video conferencing applications typically use UDP and often implement their own congestion control. Research studying these custom algorithms generally finds that they do react to congestion and can hold their own against competing TCP flows. However, these works focus on applications specializing in video conferencing, neglecting those that only offer video conferencing as one of many features, such as many instant messengers. While these instant messaging-based video call applications (IMVCAs) may opt to use standardized frameworks, such as WebRTC, their actual implementations and behaviors are wildly unknown. In this paper, we thus set out to study the behavior of three popular IMVCAs, analyzing their interplay with TCP and the impact on QoE. We find that the surveyed IMVCAs (Signal, Telegram, WhatsApp) are TCP-friendly, i.e., they do not choke TCP. However, their per-app behavior differs significantly and no app equals the other: Signal and Telegram, e.g., take TCP-friendliness too far, yielding up to 90 % of their bandwidth. This results in severe QoE detriments in the form of drastically reduced sending rates and visual quality. As Signal is known to use WebRTC, this finding suggests that the current variant might be too conservative for coexisting with TCP. In contrast, WhatsApp counters congestion by filling queues to avoid losing bandwidth. Overall, IMVCAs do not keep up with the performance of specialized applications.","PeriodicalId":394676,"journal":{"name":"2023 7th Network Traffic Measurement and Analysis Conference (TMA)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127444730","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

Phishing in Style: Characterizing Phishing Websites in the Wild 网络钓鱼的风格:野外网络钓鱼网站的特征

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10199059

David Hasselquist, Elsa Kihlberg Gawell, Axel Karlström, Niklas Carlsson

引用次数: 0

Investigating Gaze Behavior in Phishing Email Identification 网络钓鱼邮件识别中的凝视行为研究

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10199095

Francesco Pietrantonio, A. Botta, G. Ventre, L. Gallo, S. Zinno, Laura Mancuso, Roberta Presta

引用次数: 0

Detecting IP-tracking proof interfaces by looking for NATs 通过查找nat检测防ip跟踪接口

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10198950

Aurélien Buchet, Peter Snyder, Hamed Haddadi, C. Pelsser

{"title":"Detecting IP-tracking proof interfaces by looking for NATs","authors":"Aurélien Buchet, Peter Snyder, Hamed Haddadi, C. Pelsser","doi":"10.23919/TMA58422.2023.10198950","DOIUrl":"https://doi.org/10.23919/TMA58422.2023.10198950","url":null,"abstract":"In this poster, we propose an approach based on short-lived random identifiers to allow applications to detect when multiple users share the same IP address such as when they are behind NATs. Using NATed interfaces could provide a cheap way to evade IP-based tracking as the traffic of all users is merged into a single IP flow. As a result, it is harder for trackers to single out (and so re-identify by IP address) users behind a NAT. For many years, there has been a race between web trackers trying to find techniques to monitor user behaviour online, and privacy researchers looking for solutions to avoid such tracking. Despite progresses in browser privacy-preserving techniques, IP tracking is still highly effective because current solutions to hide an IP address such as VPNs, or the Tor network, rely on external services and often induce a high cost in terms of performance. Our proposal could lead to solutions that are cheaper to deploy and don't affect the performance as much. We developed an Android application detecting when an IP address was shared by multiple devices and reported the availability of such interfaces. We show that it is possible to identify networks where multiple users share the same IP address. We also discuss how our system can be protected from potential attackers.","PeriodicalId":394676,"journal":{"name":"2023 7th Network Traffic Measurement and Analysis Conference (TMA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125191533","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

I Refuse if You Let Me: Studying User Behavior with Privacy Banners at Scale 我拒绝如果你让我:研究用户行为的隐私横幅的规模

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10198936

Nikhil Jha, Martino Trevisan, M. Mellia, Rodrigo Irarrazaval, Daniel Fernandez

{"title":"I Refuse if You Let Me: Studying User Behavior with Privacy Banners at Scale","authors":"Nikhil Jha, Martino Trevisan, M. Mellia, Rodrigo Irarrazaval, Daniel Fernandez","doi":"10.23919/TMA58422.2023.10198936","DOIUrl":"https://doi.org/10.23919/TMA58422.2023.10198936","url":null,"abstract":"Privacy Banners are a common experience while surfing the Web. Mandated by privacy regulations, they are the way for users to express their consent to the usage of cookies and data collection. They take various forms, carry different wordings and offer different interaction mechanisms. While several works have qualitatively evaluated the effectiveness of privacy banners, it is still unclear how users take advantage of the options offered and if and how the design of the banner could influence their choice. This work presents a large-scale analysis of how the Privacy Banner options impact on users' interaction with it. We use data from a global Consent Management Platform serving more than 400 websites with visitors from all countries. With this, we observe more than 4M interactions collected over three months. We find that only 1–4% of visitors opt out of cookies when more than one click is required. Conversely, when offered a Reject All button to deny consent with a single click, the percentage of users who deny consent increases to about 21%. We further investigate other properties, such as the visitor's country, device type, banner position, etc. While the results confirm some common beliefs, to the best of our knowledge, this is the first work to accurately quantify how people interact with Privacy Banners and observe the effect of offering a single-click refusal option. We believe our work improves the understanding of user behaviour and perception of privacy, as well as the implications and effectiveness of privacy regulations.","PeriodicalId":394676,"journal":{"name":"2023 7th Network Traffic Measurement and Analysis Conference (TMA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128873701","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

Bias in Internet Measurement Platforms 互联网测量平台的偏差

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10198985

Pavlos Sermpezis, Lars Prehn, S. Kostoglou, Marcel Flores, A. Vakali, E. Aben

{"title":"Bias in Internet Measurement Platforms","authors":"Pavlos Sermpezis, Lars Prehn, S. Kostoglou, Marcel Flores, A. Vakali, E. Aben","doi":"10.23919/TMA58422.2023.10198985","DOIUrl":"https://doi.org/10.23919/TMA58422.2023.10198985","url":null,"abstract":"Network operators and researchers frequently use Internet measurement platforms (IMPs), such as RIPE Atlas, RIPE RIS, or RouteViews for, e.g., monitoring network performance, detecting routing events, topology discovery, or route optimization. To interpret the results of their measurements and avoid pitfalls or wrong generalizations, users must understand a platform's limitations. To this end, this paper studies an important limitation of IMPs, the bias, which exists due to the non-uniform deployment of the vantage points. Specifically, we introduce a generic framework to systematically and comprehensively quantify the multi-dimensional (e.g., across location, topology, network types, etc.) biases of IMPs. Using the framework and open datasets, we perform a detailed analysis of biases in IMPs that confirms well-known (to the domain experts) biases and sheds light on less-known or unexplored biases. To facilitate IMP users to obtain awareness of and explore bias in their measurements, as well as further research and analyses (e.g., methods for mitigating bias), we publicly share our code and data, and provide online tools (API, Web app, etc.) that calculate and visualize the bias in measurement setups.","PeriodicalId":394676,"journal":{"name":"2023 7th Network Traffic Measurement and Analysis Conference (TMA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133844595","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

Deep Generative Replay for Multivariate Time-Series Monitoring with Variational Autoencoders 基于变分自编码器的多变量时间序列监测的深度生成回放

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10199001

Gastón García González, P. Casas, Alicia Fernández

引用次数: 0

Longitudinal Analysis of Inter-City Network Delays 城际网络时延的纵向分析

2023 7th Network Traffic Measurement and Analysis Conference (TMA) Pub Date : 2023-06-26 DOI: 10.23919/TMA58422.2023.10198987

Selim Ozcan, Ioana Livadariu, Georgios Smaragdakis, C. Griwodz

引用次数: 0