Ethical Privacy Guidelines for Mobile Connectivity Measurements

Zevenbergen, Bendert; Brown, Ian; Wright, Joss; Erdos, David

doi:10.2139/ssrn.2356824

Cited by 9 publications

(15 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed guidelines are (1) accountability, (2) identifying purposes, (3) consent, (4) limiting collection, (5) limiting use, disclosure and retention, (6) accuracy, (7) safeguards, (8) openness, (9) individual access, and (10) challenging compliance. Zevenbergen et al [55] has proposed specific set of guidelines to measure mobile connectivity in a ethical way. The aim of their guidelines is to help network researchers navigate the challenges of preserving the privacy of data subjects, publishing and disseminating datasets, while adhering to and advancing good scientific practice.…”

Section: Bellotti Andmentioning

confidence: 99%

Designing privacy-aware internet of things applications

Perera

Barhamgi

Bandara

et al. 2020

Information Sciences

View full text Add to dashboard Cite

Internet of Things (IoT) applications typically collect and analyse personal data that can be used to derive sensitive information about individuals. However, thus far, privacy concerns have not been explicitly considered in software engineering processes when designing IoT applications. The advent of behaviour driven security mechanisms, failing to address privacy concerns in the design of IoT applications can have security implications. In this paper, we explore how a Privacy-by-Design (PbD) framework, formulated as a set of guidelines, can help software engineers integrate data privacy considerations into the design of IoT applications. We studied the utility of this PbD framework by studying how software engineers use it to design IoT applications. We also explore the challenges in using the set of guidelines to influence the IoT applications design process. In addition to highlighting the benefits of having a PbD framework to make privacy features explicit during the design of IoT applications, our studies also surfaced a number of challenges associated with the approach. A key finding of our research is that the PbD framework significantly increases both novice and expert software engineers' ability to design privacy into IoT applications.

show abstract

Section: Bellotti Andmentioning

confidence: 99%

Designing privacy-aware internet of things applications

Perera

Barhamgi

Bandara

et al. 2020

Information Sciences

View full text Add to dashboard Cite

show abstract

“…To hide this information, users can exploit anonymity network tools, with TOR being the king. 2 Nevertheless, with the advent of CDNs and Cloud Providers, the information obtainable by analyzing the server IP addresses is getting coarser. Indeed, many services are often co-located on the same servers owned by third party IaaS companies, with Akamai and Amazon being the leaders.…”

Section: A Network Layermentioning

confidence: 99%

“…Several ethical issues arise when ISP and network administrators cope with passive measurements, and it is not often clear to what extent user's privacy is broken e.g., i) which kind of data is visible by network probes, ii) what can be extracted from the user's flow records, iii) how should the extracted data be stored, iv) who has the right to access the collected data, etc. Many works investigate about the ethical arguments in the modern web; in particular Zevenbergen et al [2] and Vassio et al [3] discuss the ethical issues related to traffic measurement, and provide guidelines on how to deal with personal data.…”

Section: Introductionmentioning

confidence: 99%

Privacy issues of ISPs in the modern web

Khatouni

Trevisan

Regano

et al. 2017

2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

View full text Add to dashboard Cite

In recent years, privacy issues in the networking field are getting more important. In particular, there is a lively debate about how Internet Service Providers (ISPs) should collect and treat data coming from passive network measurements. This kind of information, such as flow records or HTTP logs, carries considerable knowledge from several points of view: traffic engineering, academic research, and web marketing can take advantage from passive network measurements on ISP customers. Nevertheless, in many cases collected measurements contain personal and confidential information about customers exposed to monitoring, thus raising several ethical issues. Modern web is very different from the one we experienced few years ago: web services converged to few protocols (i.e., HTTP and HTTPS) and a large share of traffic is encrypted.The aim of this work is to provide an insight about which information is still visible to ISPs, with particular attention to novel and emerging protocols, and to what extent it carries personal information. We illustrate that sensible information, such as website history, is still exposed to passive monitoring. We illustrate privacy and ethical issues deriving by the current situation and provide general guidelines and best practices to cope with the collection of network traffic measurements.

show abstract

“…One of M-Lab's goals is for new tools to leverage existing code base, for example the Mobilizer library [41]. M-Lab also supports the development of common ethical guidelines for network measurement data collection [16]. However, the continued flow of proposals for new, independently deployed cellular tools (five in 2014 [37], [41], [44], [45], [50], eight in 2013 [20], [33]- [36], [42], [51], [52], three in 2012 [12], [40], [53], one in 2011 [38], one in 2010 [43], and two in 2009 [54], [55]) suggests that more needs to be done to improve collaboration among different research groups.…”

Section: Researchers' View Of Network Performancementioning

confidence: 99%

Survey of End-to-End Mobile Network Measurement Testbeds, Tools, and Services

Goel

Wittie

Claffy

et al. 2016

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

Abstract-Mobile (cellular) networks enable innovation, but can also stifle it and lead to user frustration when network performance falls below expectations. As mobile networks become the predominant method of Internet access, developer, research, network operator, and regulatory communities have taken an increased interest in measuring end-to-end mobile network performance to, among other goals, minimize negative impact on application responsiveness. In this survey we examine current approaches to end-to-end mobile network performance measurement, diagnosis, and application prototyping. We compare available tools and their shortcomings with respect to the needs of researchers, developers, regulators, and the public. We intend for this survey to provide a comprehensive view of currently active efforts and some auspicious directions for future work in mobile network measurement and mobile application performance evaluation.

show abstract

Ethical Privacy Guidelines for Mobile Connectivity Measurements

Cited by 9 publications

References 9 publications

Designing privacy-aware internet of things applications

Designing privacy-aware internet of things applications

Privacy issues of ISPs in the modern web

Survey of End-to-End Mobile Network Measurement Testbeds, Tools, and Services

Contact Info

Product

Resources

About