Eric Pauley and Patrick McDaniel (University of Wisconsin–Madison)

Measurement of network data received from or transmitted over the public Internet has yielded a myriad of insights towards improving the security and privacy of deployed services. Yet, the collection and analysis of this data necessarily involves the processing of data that could impact human subjects, and anonymization often destroys the very phenomena under study. As a result, Internet measurement faces the unique challenge of studying data from human subjects who could not conceivably consent to its collection, and yet the measurement community has tacitly concluded that such measurement is beneficial and even necessary for its positive impacts. We are thus at an impasse: academics and practitioners routinely collect and analyze sensitive user data, and yet there exists no cohesive set of ethical norms for the community that justifies these studies. In this work, we examine the ethical considerations of Internet traffic measurement and analysis, analyzing the ethical considerations and remediations in prior works and general trends in the community. We further analyze ethical expectations in calls-for-papers, finding a general lack of cohesion across venues. Through our analysis and recommendations, we hope to inform future studies and venue expectations towards maintaining positive impact while respecting and protecting end users.

View More Papers

Machine Unlearning of Features and Labels

Alexander Warnecke (TU Braunschweig), Lukas Pirch (TU Braunschweig), Christian Wressnegger (Karlsruhe Institute of Technology (KIT)), Konrad Rieck (TU Braunschweig)

Read More

He-HTLC: Revisiting Incentives in HTLC

Sarisht Wadhwa (Duke University), Jannis Stoeter (Duke University), Fan Zhang (Duke University, Yale University), Kartik Nayak (Duke University)

Read More

LOKI: State-Aware Fuzzing Framework for the Implementation of Blockchain...

Fuchen Ma (Tsinghua University), Yuanliang Chen (Tsinghua University), Meng Ren (Tsinghua University), Yuanhang Zhou (Tsinghua University), Yu Jiang (Tsinghua University), Ting Chen (University of Electronic Science and Technology of China), Huizhong Li (WeBank), Jiaguang Sun (School of Software, Tsinghua University)

Read More

Augmented Reality’s Potential for Identifying and Mitigating Home Privacy...

Stefany Cruz (Northwestern University), Logan Danek (Northwestern University), Shinan Liu (University of Chicago), Christopher Kraemer (Georgia Institute of Technology), Zixin Wang (Zhejiang University), Nick Feamster (University of Chicago), Danny Yuxing Huang (New York University), Yaxing Yao (University of Maryland), Josiah Hester (Georgia Institute of Technology)

Read More