Peng Gao

About

Peng Gao is an Assistant Professor in the Department of Computer Science at Virginia Tech. He holds a Ph.D. in electrical engineering from Princeton University, obtained in 2019, and a master's degree in electrical engineering from Princeton University, earned in 2015. He also earned a B.E. in electrical and computer engineering from Shanghai Jiao Tong University in 2013. His research interests include data analytics, information retrieval, machine learning, natural language processing, security, software engineering, and systems. Peng Gao is based at Virginia Tech's Blacksburg campus, with additional affiliations at the Institute for Advanced Computing in Alexandria, VA, and the Virginia Tech Research Center in Arlington, VA. His contact information includes an email address (penggao@vt.edu) and phone number (540-231-9060).

Research topics

• Computer Science
• Computer Security
• Data Mining
• World Wide Web
• Mathematics
• Arithmetic
• Data science
• Discrete mathematics

Selected publications

• Make Web3.0 Connected

  IEEE Transactions on Dependable and Secure Computing · 2021 · 89 citations

  <inline-formula><tex-math notation="LaTeX">${\mathsf Web3.0}$</tex-math></inline-formula> , often cited to drastically shape our lives, is ubiquitous. However, few literatures have discussed the crucial differentiators that separate <inline-formula><tex-math notation="LaTeX">${\mathsf Web3.0}$</tex-math></inline-formula> from the era we are currently living in. Via a thorough analysis of the recent blockchain infrastructure evolution, we capture a key invariant featuring the evolution, based on…

  PublisherDOI

• P4Control: Line-Rate Cross-Host Attack Prevention via In-Network Information Flow Control Enabled by Programmable Switches and eBPF

  2024-05-19 · 7 citations

  preprintOpen accessSenior author

  Modern targeted attacks such as Advanced Persistent Threats use multiple hosts as stepping stones and move laterally across them to gain deeper access to the network. However, existing defenses lack end-to-end information flow visibility across hosts and cannot block cross-host attack traffic in real time. In this paper, we propose P4Control, a network defense system that precisely confines end-to-end information flows in a network and prevents cross-host attacks at line rate. P4Control introduc…

  PublisherOA PDFDOI

• A Knowledge Base Question Answering System for Cyber Threat Knowledge Acquisition

  2022 IEEE 38th International Conference on Data Engineering (ICDE) · 2022-05-01 · 6 citations

  articleSenior author

  Open-source cyber threat intelligence (OSCTI) provides a form of evidence-based knowledge about cyber threats, enabling businesses to gain visibility into the fast-evolving threat landscape. Despite the pressing need for high-fidelity threat knowledge, existing cyber threat knowledge acquisition systems have primarily focused on providing low-level, isolated indicators. These systems have ignored the rich higher-level threat knowledge entities and their relationships presented in OSCTI reports,…

  PublisherDOI

• 2026-喜马拉雅和拉萨碰撞后侵入岩的成因和地球动力学意义-地球化学数据集-中山大学硕士毕业论文

  Zenodo (CERN European Organization for Nuclear Research) · 2026-03-31

  datasetOpen accessSenior author

  This dataset includes whole-rock major-trace element and Sr-Nd isotope data for post-collisional intrusive rocks from the Himalayan orogen and the Lhasa terrane.

  PublisherDOI

• 2026-喜马拉雅和拉萨碰撞后侵入岩的成因和地球动力学意义-地球化学数据集-中山大学硕士毕业论文

  Zenodo (CERN European Organization for Nuclear Research) · 2026-03-31

  datasetOpen accessSenior author

  This dataset includes whole-rock major-trace element and Sr-Nd isotope data for post-collisional intrusive rocks from the Himalayan orogen and the Lhasa terrane.

  PublisherDOI

Frequent coauthors

• Xusheng Xiao

  20 shared

• Prateek Mittal

  19 shared

• Sanjeev R. Kulkarni

  Princeton University

  18 shared

• Fengyuan Xu

  Nanjing University

  13 shared

• Kangkook Jee

  The University of Texas at Dallas

  12 shared

• Zhaosheng Yang

  Shijiazhuang University

  9 shared

• Weiyong Yang

  NARI Group (China)

  7 shared

• Xingshen Wei

  NARI Group (China)

  7 shared

Similar researchers at Virginia Tech

• Wenjing Louh-77
• Doug Bowmanh-56
• Wu-chun Fengh-46