Research

I have been involved in various research projects during both undergrad and my time in graduate school. For the most part, I focused on designing new network protocols, improving network performance in big data systems, and implementing more efficient packet forwarders. Additionally, I conducted research into automotive security.

I have been affiliated with the University of Arizona, NIST, the University of Michigan, and UCLA. My publications and technical reports during this time are listed below.

• “YaNFD: Yet another Named Data Networking Forwarding Daemon”
  Eric Newberry, Xinyu Ma, Lixia Zhang
  ACM ICN 2021
  <PDF>
• “NDN Forwarder Manager: Improving the Usability of NDN Forwarders”
  Xinyu Ma, Eric Newberry, Lixia Zhang
  Named Data Networking Technical Report NDN-0070, January 2021
  <PDF>
• “LibreCAN: Automated CAN Message Translator”
  Mert D. Pesé, Troy Stacer, C. Andrés Campos, Eric Newberry, Dongyao Chen, Kang G. Shin
  ACM CCS 2019
  <PDF>
• “On the Power of In-Network Caching in the Hadoop Distributed File System”
  Eric Newberry, Beichuan Zhang
  ACM ICN 2019
  <PDF>
• “An Overview of Security Support in Named Data Networking”
  Zhiyi Zhang, Yingdi Yu, Haitao Zhang, Eric Newberry, Spyridon Mastorakis, Yanbiao Li, Alexander Afanasyev, Lixia Zhang
  IEEE Communications Magazine, November 2018
  <PDF> (Tech report version)
• “A Network Measurement Framework for Named Data Networks”
  Davide Pesavento, Omar Ilias El Mimouni, Eric Newberry, Lotfi Benmohamed, Abdella Battou
  ACM ICN 2017
  <PDF>
• “On Broadcast-based Self-Learning in Named Data Networking”
  Junxiao Shi, Eric Newberry, Beichuan Zhang
  IFIP Networking 2017
  <PDF>