期刊名称：Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications
印刷版ISSN：2093-5374
电子版ISSN：2093-5382
出版年度：2014
卷号：5
期号：2
页码：80-94
出版社：Innovative Information Science & Technology Research Group
摘要：The threat of malicious insider activity continues to be of paramount concern in both the public and private sectors. Though there is great interest in advancing the state of the art in predicting and stopping these threats, the difficulty of obtaining suitable data for research, development, and testing remains a significant hindrance. We outline the use of a synthetic data generator to enable research progress, while discussing the benefits and limitations of synthetic insider threat data, the meaning of realism in this context, comparisons to a hybrid real/synthetic data approach, and future research directions
关键词：insider threat; synthetic data; modeling and simulation
