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pro vyhledávání: '"Izhikevich, Katherine"'
Autor:
Liu, Enze, Luo, Elisa, Yan, Jian Chen, Izhikevich, Katherine, Grant, Stewart, Stefan, Deian, Voelker, Geoffrey M, Savage, Stefan
Between 2021 and 2023, crypto assets valued at over \$US2.6 billion were stolen via attacks on "bridges" -- decentralized services designed to allow inter-blockchain exchange. While the individual exploits in each attack vary, a single design flaw un
Externí odkaz:
http://arxiv.org/abs/2410.01107
Geolocation plays a critical role in understanding the Internet. In this work, we provide an in-depth analysis of operator-misreported geolocation. Using a bandwidth-efficient methodology, we find in May 2024 that only a small percentage (1.5%) of va
Externí odkaz:
http://arxiv.org/abs/2409.19109
In this work, we analyze to what extent actors target poorly-secured cloud storage buckets for attack. We deployed hundreds of AWS S3 honeybuckets with different names and content to lure and measure different scanning strategies. Actors exhibited cl
Externí odkaz:
http://arxiv.org/abs/2312.00580
Publikováno v:
ACM SIGMETRICS/IFIP Performance 2024
Low Earth Orbit (LEO) satellite networks are quickly gaining traction with promises of impressively low latency, high bandwidth, and global reach. However, the research community knows relatively little about their operation and performance in practi
Externí odkaz:
http://arxiv.org/abs/2306.07469
Akademický článek
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Autor:
Pekar, Jonathan E., Magee, Andrew, Parker, Edyth, Moshiri, Niema, Izhikevich, Katherine, Havens, Jennifer L., Gangavarapu, Karthik, Malpica Serrano, Lorena M., Crits-Christoph, Alexander, Matteson, Nathaniel L., Zeller, Mark, Levy, Joshua I., Wang, Jade C., Hughes, Scott, Lee, Jungmin, Park, Heedo, Park, Man-Seong, Ching Zi Yan, Katherine, Tzer Pin Lin, Raymond, Mat Isa, Mohd Noor, Muhammad Noor, Yusuf, Vasylyeva, Tetyana I., Garry, Robert F., Holmes, Edward C., Rambaut, Andrew, Suchard, Marc A., Andersen, Kristian G., Worobey, Michael, Wertheim, Joel O.
Understanding the circumstances that lead to pandemics is critical to their prevention. Here, we analyze the pattern and origin of genomic diversity of SARS-CoV-2 early in the COVID-19 pandemic. We show that the SARS-CoV-2 genomic diversity prior to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233c2aab6006b5a95af7e36c27f4b899