Academic Commons

Reports

Data Collection and Analysis for Masquerade Attack Detection: Challenges and Lessons Learned

Ben Salem, Malek; Stolfo, Salvatore

Real-world large-scale data collection poses an important challenge in the security field. Insider and masquerader attack data collection poses even a greater challenge. Very few organizations acknowledge such breaches because of liability concerns and potential implications on their market value. This caused the scarcity of real-world data sets that could be used to study insider and masquerader attacks. In this paper, we present the design, technical, and procedural challenges encountered during our own masquerade data gathering project. We also share some lessons learned from this several-year project related to the Institutional Review Board process and to user study design.

Subjects

Files

More Information

Publisher
Department of Computer Science, Columbia University
Publication Origin
New York
Series
Columbia University Computer Science Technical Reports, CUCS-003-11
Academic Units
Computer Science
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.