activity
20122026
most citedIoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale

125 citations · 166 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CR2026

Grid Trouble in Paradise: Uncovering Vulnerable Distributed Energy Resources and Their Grid-Level Risks

Anna Raymaker, Samuel Talkington, Zeezoo Ryu +8

Grid-connected solar distributed energy resources (DERs), such as solar inverters and monitoring platforms, have been deployed at unprecedented scale over the past few years, with…

cs.NI2026

Detecting and Characterizing Massively Shared IP Addresses

Amanda Hsu, Paul Pearce, Frank Li +2

IP addresses are commonly shared across devices and users for a variety of reasons, including NAT and proxies. These technologies operate at different scales, from residential NATs…

cs.CR2024

I Experienced More than 10 DeFi Scams: On DeFi Users' Perception of Security Breaches and Countermeasures

Mingyi Liu, Jun Ho Huh, HyungSeok Han +5

Decentralized Finance (DeFi) offers a whole new investment experience and has quickly emerged as an enticing alternative to Centralized Finance (CeFi). Rapidly growing market size…

cs.NI2023

A First Look At NAT64 Deployment In-The-Wild

Amanda Hsu, Frank Li, Paul Pearce +1

IPv6 is a fundamentally different Internet Protocol than IPv4, and IPv6-only networks cannot, by default, communicate with the IPv4 Internet. This lack of interoperability necessit…

cs.CR2023★ 18 cited

Measuring Website Password Creation Policies At Scale

Suood Alroomi, Frank Li

Researchers have extensively explored how password creation policies influence the security and usability of user-chosen passwords, producing evidence-based policy guidelines. Howe…

cs.CR2019★ 125 cited

IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale

Danny Yuxing Huang, Noah Apthorpe, Gunes Acar +2

The proliferation of smart home devices has created new opportunities for empirical research in ubiquitous computing, ranging from security and privacy to personal health. Yet, dat…

cs.CR2016★ 12 cited

Your Processor Leaks Information - and There's Nothing You Can Do About It

Qian Ge, Yuval Yarom, Frank Li +1

Timing channels are information flows, encoded in the relative timing of events, that bypass the system's protection mechanisms. Any microarchitectural state that depends on execut…

cs.CR2015

Exploring Privacy Preservation in Outsourced K-Nearest Neighbors with Multiple Data Owners

Frank Li, Richard Shin, Vern Paxson

The k-nearest neighbors (k-NN) algorithm is a popular and effective classification algorithm. Due to its large storage and computational requirements, it is suitable for cloud outs…

cs.NI2012★ 11 cited

SybilControl: Practical Sybil Defense with Computational Puzzles

Frank Li, Prateek Mittal, Matthew Caesar +1

Many distributed systems are subject to the Sybil attack, where an adversary subverts system operation by emulating behavior of multiple distinct nodes. Most recent work to address…