@article{d94d5a4298654464bf3bdfe120f263cf,
title = "Analyzing Data Granularity Levels for Insider Threat Detection Using Machine Learning",
author = "Le, {Duc C.} and Nur Zincir-Heywood and Heywood, {Malcolm I.}",
note = "Funding Information: Manuscript received June 13, 2019; revised October 26, 2019; accepted January 10, 2020. Date of publication January 17, 2020; date of current version March 11, 2020. This work was supported by the Natural Science and Engineering Research Council of Canada. The associate editor coordinating the review of this article and approving it for publication was C. Fung. (Corresponding author: Duc C. Le.) The authors are with the Faculty of Computer Science, Dalhousie University, Halifax, NS B3H 4R2, Canada (e-mail: lcd@dal.ca; zincir@cs.dal.ca; mheywood@cs.dal.ca). Digital Object Identifier 10.1109/TNSM.2020.2967721 Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",
year = "2020",
month = mar,
doi = "10.1109/TNSM.2020.2967721",
language = "English",
volume = "17",
pages = "30--44",
journal = "IEEE Transactions on Network and Service Management",
issn = "1932-4537",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}