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

Double and Nothing: Understanding and Detecting Cryptocurrency Giveaway Scams

Xigao Li (Stony Brook University), Anurag Yepuri (Stony Brook University), Nick Nikiforakis (Stony Brook University)

Read More

Access Your Tesla without Your Awareness: Compromising Keyless Entry...

Xinyi Xie (Shanghai Fudan Microelectronics Group Co., Ltd.), Kun Jiang (Shanghai Fudan Microelectronics Group Co., Ltd.), Rui Dai (Shanghai Fudan Microelectronics Group Co., Ltd.), Jun Lu (Shanghai Fudan Microelectronics Group Co., Ltd.), Lihui Wang (Shanghai Fudan Microelectronics Group Co., Ltd.), Qing Li (State Key Laboratory of ASIC & System, Fudan University), Jun Yu (State Key…

Read More

A Robust Counting Sketch for Data Plane Intrusion Detection

Sian Kim (Ewha Womans University), Changhun Jung (Ewha Womans University), RhongHo Jang (Wayne State University), David Mohaisen (University of Central Florida), DaeHun Nyang (Ewha Womans University)

Read More

Analyzing the Patterns and Behavior of Users When Detecting...

Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

Read More