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Mink


Dustin Mink

Dustin Mink is a recognized thought leader in Cyber and Signals Artificial Intelligence and Machine Learning with over 20 years of experience. Dr. Mink creates technical solutions through IRADs, Co-PI of .5 million dollar National Center of Academic excellence in Cyber Research Innovation grant, and as an independent researcher on a 7.1 million dollar DoD Strategic Capabilities Office grant. Dr. Mink communicates technical solutions through peer reviewed journal papers publications, peer reviewed conference proceedings, invited talks, and on panels. Dr. Mink collaborates on technical solutions through competitive grants, as the lead technical performer across contracts and TTOs, IRADs, and contract proposals. Dr. Mink cultivates others to create technical solutions through educating undergraduate and graduate students at the University of the West Florida and the National Intelligence University, training students at the Joint Cyber Analysis Course, and mentoring.

Degrees

  • Ph.D. Computing, University of South Alabama
  • M.S. Computer Science, University of West Florida
  • A.A. Daytona State College

Courses Taught

University of West Florida (i.e., DHS/ NSA CAE designated and ABET accredited)

  • COT6935 Seminar in Cybersecurity
  • CIS6905 Directed Study in Cybersecurity
  • CIS4385 Ethical Hacking
  • CNT4416 Cyber War Gaming
  • COP4990 Reverse Software Engineering
  • CEN4078 Secure Software Development
  • CNT4403 Computer and Network Security
  • COP4365C Advance C# Programming
  • COP4173 Advance Visual Basic Programming
  • CGS3464 Visual Programming
  • CNT1990 Introduction to Networking

Join Cyber Analysis Course (i.e., ACE credited military training)

  • Discrete Structures
  • Programming Fundamentals
  • Computer Organization and Architecture
  • Operating Systems
  • Networking Concepts and Protocols
  • Programming

National Intelligence University

  • Cyber Intelligence
  • Data Science in Intelligence

Research

  • Bagui, S.S.; Mink, D.; Bagui, S.C.; Subramaniam, S. Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data. Computers 2023, 12, 204. https://doi.org/10.3390/computers12100204
  • Bagui, S.S.; Mink, D.; Bagui, S.C.; Plain, M.; Hill, J.; Elam, M. Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22. Future Internet 2023, 15, 236. https://doi.org/10.3390/fi15070236
  • Bagui, S.; Mink, D.; Bagui, S.; Subramaniam, S.; Wallace, D. Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks. Future Internet 2023, 15, 130. https://doi.org/10.3390/fi15040130
  • Bagui, S.S.; Mink, D.; Bagui, S.C.; Ghosh, T.; Plenkers, R.; McElroy, T.; Dulaney, S.; Shabanali, S. Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework. Data 2023, 8, 18. https://doi.org/10.3390/data8010018
  • Bagui, S.; Mink, D.; Bagui, S.; Ghosh, T.; McElroy, T.; Paredes, E.; Khasnavis, N.; Plenkers, R. Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark’s Machine Learning in the Big Data Framework. Sensors 2022, 22, 7999. https://doi.org/10.3390/s22207999
  • Mink, D.M.; McDonald, J.; Bagui, S.; Glisson, W.B.; Shropshire, J.; Benton, R.; Russ, S. Near-Real-Time IDS for the U.S. FAA’s NextGen ADS-B. Big Data Cogn. Comput. 2021, 5, 27. https://doi.org/10.3390/bdcc5020027
  • Mink, Dustin M., Jeffrey McDonald, Sikha Bagui, William B. Glisson, Jordan Shropshire, Ryan Benton, and Samuel Russ. "Near-Real-Time IDS for the US FAA’s NextGen ADS-B." Big Data and Cognitive Computing 5, no. 2 (2021): 27.
  • Mink, Dustin Michael. "Indicators of Compromise for the United States Federal Aviation Administration Next Generation Air Transportation System Automatic Dependent Surveillance-Broadcast." PhD diss., University of South Alabama, 2019.
  • Mink, Dustin, William Bradley Glisson, Ryan Benton, and Kim-Kwang Raymond Choo. "Manipulating the five V’s in the next generation air transportation system." In International Conference on Security and Privacy in Communication Systems, pp. 271-282. Springer, Cham, 2017.
  • Mink, Dustin; Yasinsac, Alec; Choo, Kim-Kwang Raymond; and Glisson, William, "Next Generation Aircraft Architecture and Digital Forensic" (2016). AMCIS 2016 Proceedings. 7. https://aisel.aisnet.org/amcis2016/ISSec/Presentations/7
  • Bagui, S., Mink, D. and Cash, P., 2007. Data mining techniques to study voting patterns in the US. Data Science Journal, 6(0), p.46-63.DOI: https://doi.org/10.2481/dsj.6.46

Grants Awarded

  • Co-PI for the University of West Florida on .5 million dollar National Center of Academic excellence in Cyber Research Innovation grant for A Robust Automated Risk detection and Mitigation System for Network Intrusion Detection Systems using AI/ ML (NCAE-C-002-2021)
  • Independent Researcher for the University of South Alabama on 7.1 million dollar Department of Defense Strategic Capabilities Office grant for F/A-18 C/D/E/F Rapid Sustainability Using Learning Technologies (SCO-BBA-16-01)
  • Co-PI for the University of West Florida on National Security Agency (NSA) Cyber security National Action Plan (CNAP) 2017 to create security software Development for industrial control system curriculum (210055).
  • Co-PI for the University of West Florida on National Security Agency Center (NSA) of Academic Excellence (CAE) Regional Resource Center (RRC) 2017 grant for providing resources and guidance to applicant instructions for the south eastern region (21005C)
  • Co-PI for the University of West Florida on GenCyber 2017 to provide cybersecurity experiences for students and teachers at the secondary level (21005B )
  • Co-PI for the University of West Florida on FCC Capacity: FL Cyber Pathways to provide workforce development to create and deliver cybersecurity education (221246)
  • Co-PI for the University of West Florida on National Security Agency (NSA) Cybersecurity for All to provide workforce development to create and deliver cybersecurity education (210058)