Temporal Understanding of Cybersecurity Threats
| dc.contributor.author | Sleeman, Jennifer | |
| dc.contributor.author | Finin, Tim | |
| dc.contributor.author | Halem, Milton | |
| dc.date.accessioned | 2020-07-22T16:05:51Z | |
| dc.date.available | 2020-07-22T16:05:51Z | |
| dc.date.issued | 2020-06-23 | |
| dc.description | 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 25-27 May 2020, Baltimore, MD, USA, USA | en_US |
| dc.description.abstract | As cybersecurity-related threats continue to increase, understanding how the field is changing over time can give insight into combating new threats and understanding historical events. We show how to apply dynamic topic models to a set of cybersecurity documents to understand how the concepts found in them are changing over time. We correlate two different data sets, the first relates to specific exploits and the second relates to cybersecurity research. We use Wikipedia concepts to provide a basis for performing concept phrase extraction and show how using concepts to provide context improves the quality of the topic model. We represent the results of the dynamic topic model as a knowledge graph that could be used for inference or information discovery. | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/document/9123059 | en_US |
| dc.format.extent | 7 pages | en_US |
| dc.genre | conference papers and proceedings preprints | en_US |
| dc.identifier | doi:10.13016/m2v88o-bcfw | |
| dc.identifier.citation | J. Sleeman, T. Finin and M. Halem, "Temporal Understanding of Cybersecurity Threats," 2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), Baltimore, MD, USA, 2020, pp. 115-121, doi: 10.1109/BigDataSecurity-HPSC-IDS49724.2020.00030. | en_US |
| dc.identifier.uri | 10.1109/BigDataSecurity-HPSC-IDS49724.2020.00030 | |
| dc.identifier.uri | http://hdl.handle.net/11603/19214 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | © 2020 IEEE | |
| dc.subject | UMBC Ebiquity Research Group | |
| dc.title | Temporal Understanding of Cybersecurity Threats | en_US |
| dc.type | Text | en_US |