Research Interest:

• computer network security - intrusion detection and prevention
• digital topology

Research Grant in pending:

• NSF TUES 2011, "Beyond Security Track: Embed Security Education across Undergraduate Computing Curricula"

Research Grant awarded:

• 1. NSA NCAE-C Capacity Building, co-PI with Lixin Wang (PI), “Enhancement of Cybersecurity Education for Local Secondary Programs in the Columbus GA area through Capacity Building”,
      NSA, Federal, $176,000, Sep. 3, 2024 to Dec. 31, 2026
• 2. GenCyber, PI, “Broadening Cybersecurity Awareness for Middle School Girls via GenCyber Outreach and Playing Cyber Games”,
      Sponsored by NSA, Federal, $44,720.47, July 28, 2023 to July 28, 2025.
• 3. Gencyber, PI, “Broadening Cybersecurity Awareness for Middle School Girls via GenCyber Outreach, Games and Storytelling”,
      Sponsored by NSA, Federal, $47,949.55. Sep. 1, 2022 to Aug. 31, 2023.
• 4. NCAE-C, PI, “Mining Network Traffic to Detect Stepping-stone Intrusion”,
      $282030.00, NSA, Sep. 1st, 2020 to August 31st, 2023.
• 5. GenCyber, PI, “Broadening Cybersecurity Awareness for Middle School Girls via History and Storytelling”, $25,556.95,
      NSA, April 1st, 2020 to March 31st, 2021
• 6. NSA Summer Workshop Grant, PI, “A Hands-on Learning Workshop in Stepping Stone Intrusion Detection”, $24617.11,
       NSA, April 1st, 2019 to August 31st, 2019.
• 7. NSA CDI/NCCP Grant, PI, “Integration of Stepping-stone Intrusion Detection Hands-on Learning Experience into the Cybersecurity Curriculum”, $132,599,
      NSA, Nov. 1st, 2017 to Oct. 31st, 2018.
• 8. GenCyber, PI, “Broadening Middle School Students’ Security Awareness via Playing Cyber Games”, $28,269.00,
      NSA, April 1st, 2017 to March 31st, 2018
• 9. Cyber P3i, co-PI, “Recruiting and Preparing Cyber Soldiers”, $148,876, funded by USAR (United States Army Reserve),
      September 2016 to August 2017.

Research Project working with:

• Mining TCP/IP traffic to detect stepping-stone intrusion
• Matching TCP/IP packets to detect stepping-stone insider
• Efficient way to mine network traffic to detect stepping-stone
• Upstream stepping-stone detection