Nicole Beebe, Ph.D.

Melvin Lachman Endowed Chair, Professor, Information Systems and Cyber Security

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Bio

Nicole L. Beebe holds a Ph.D. in business administration with a concentration in information technology from The University of Texas at San Antonio, an MS in criminal justice from Georgia State University and a BS in electrical engineering from Michigan Technological University. She has over fifteen years of industry and government experience in information security and digital forensics. She was a computer crime investigator for the U.S. Air Force Office of Special Investigations from 1998-2007. She has been a Certified Information Systems Security Professional (CISSP) since 2001, is a licensed private investigator in the state of Texas and holds three professional certifications in digital forensics (CCFP, EnCE, ACE).

Professor Beebe's research interests include intelligent digital forensics recovery and retrieval techniques, the use of data mining and machine learning techniques to solve information security problems and strategic decision making involving organizational information security management. Her research has appeared in numerous journals, including Decision Support Systems (DSS), IEEE Transactions on Information Forensics and Security, Communications of the AIS (CAIS), The DATABASE for Advances in Information Systems, Digital Investigation and the Journal of Information System Security (JISSEC). She has published several book chapters in the Advances in Digital Forensics series.

Professor Beebe serves annually on several top-tier, international digital forensics conferences. She serves on the board of directors for the American Society of Digital Forensics & eDiscovery and is a member of several professional organizations, including the American Academy of Forensic Sciences and the Information Systems Security Association, among many others.

Research Interests

  • Digital forensics (media and network intrusion forensics; intelligent forensic algorithms)
  • Cyber security (behavioral, managerial and technical issues)
  • Data Analytics (cyber analytics; computational forensics)

Degrees

  • Ph.D. The University of Texas at San Antonio
  • MS Georgia State University
  • BS Michigan Technological University

Publications

  • “Data Type Classification: Hierarchical Class-to-Type Modeling,” in Advances in Digital Forensics XII, Boston: Springer, 2016, pp. 325-343.
  • “An Empirical Examination of an Agile Contingent Project /Method Fit Model,” Communications of the Association for Information Systems. Vol. 39, No. 1, 2016, pp. 267-296.
  • “Ranking Publication Outlets for Information Security Research,” with Jan Clark, Frederick Chang and Priya Padmanabhan, Journal of Information SystemSecurity, Vol. 10, No. 2, 2015, pp. 37-57.
  • “Sceadan: Using Concatentated N-Gram Vectors for Improved Data/File Type Classification,” with Laurence A. Maddox, Lishu Liu and Minghe Sun, IEEE Transactions on Information Forensics and Security, Vol. 8, No. 9, pp. 1519-1530.
  • “Post-Retrieval Search Hit Clustering to Improve Information Retrieval Effectiveness: A Digital Forensics Case Study,” with Jan Guynes Clark, Glenn B. Dietrich, Myung S. Ko and Daijin Ko, Decision Support Systems (DSS), Vol. 51, Issue 4, 2011, pp. 732-744.
  • “Improving Organizational Information Security Strategy via Meso-Level Application of Situational Crime Prevention to the Risk Management Process,” with V. Srinivasan Rao, Communications of the Association for Information Systems (CAIS), Vol. 26, Issue 17, 2010, pp. 329-358.
  • “Digital Forensic Research: The Good, The Bad, and The Unaddressed,” in Advances in Digital Forensics V, G. Peterson and S. Shenoi (eds.), Boston: Springer, 2009, pp. 17-33.
  • “Digital Forensic Implications of ZFS,” with Sonia Stacy and Dane Stuckey, Digital Investigation, Vol. 6, Issue 1, 2009, pp. 99-107.
  • “Examination of Organizational Information Security: A Pilot Study,” with V. Srinivasan Rao, Proceedings of the Fifteenth Americas Conference on Information Systems, San Francisco, California, 200.
  • “Digital Forensic Text String Searching: Improving Information Retrieval Effectiveness by Thematically Clustering Search Results,” with Jan Guynes Clark, Digital Investigation, Vol. 4, Issue 1, 2007, pp. 49-54.
  • “A New Process Model for Text String Searching,” with Glenn Dietrich, in IFIP International Federation for Information Processing, Advances in Digital Forensics III, P. Craiger and S. Shenoi (eds.), Boston: Springer, Volume 242, 2007, pp. 179-191.
  • “A Discriminant Model for Predicting Hacker Behavior,” with Jan Guynes Clark, Journal of Information System Security, Vol. 3, Issue 3, 2007, pp. 3-20.
  • “Moral Intensity and Ethical Decision-Making: A Contextual Extension,” with Tim Goles, Greg White, Alberto Dorantes and Barbara Hewitt, The DATA BASE for Advances in Information Systems, Vol. 37, Issues 2-3, 2007, pp. 86-95.
  • “A Hierarchical, Objectives-Based Framework for the Digital Investigations Process,” with Jan Guynes Clark, Digital Investigation, Vol. 2, Issue 2, 2005, pp. 146-166.
  • “Dealing with Terabyte Datasets in Digital Investigations,” with Jan Guynes Clark, in Research Advances in Digital Forensics, M. Pollitt and S. Shenoi (eds.), Springer, Norwell, 2005.