Temporal Understanding of Cybersecurity Threats Article Swipe
Jennifer Sleeman
,
Tim Finin
,
Milton Halem
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00030
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00030
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.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00030
- OA Status
- green
- Cited By
- 3
- References
- 33
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3037451859
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3037451859Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00030Digital Object Identifier
- Title
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Temporal Understanding of Cybersecurity ThreatsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-05-01Full publication date if available
- Authors
-
Jennifer Sleeman, Tim Finin, Milton HalemList of authors in order
- Landing page
-
https://doi.org/10.1109/bigdatasecurity-hpsc-ids49724.2020.00030Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.13016/m2v88o-bcfwDirect OA link when available
- Concepts
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Computer science, Exploit, Data science, Inference, Field (mathematics), Phrase, Context (archaeology), Computer security, Set (abstract data type), Artificial intelligence, Pure mathematics, Biology, Paleontology, Programming language, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.second | 65 |
| abstract_inverted_index.concept | 80 |
| abstract_inverted_index.context | 90 |
| abstract_inverted_index.dynamic | 30, 104 |
| abstract_inverted_index.events. | 24 |
| abstract_inverted_index.insight | 16 |
| abstract_inverted_index.provide | 75, 89 |
| abstract_inverted_index.quality | 93 |
| abstract_inverted_index.relates | 59, 66 |
| abstract_inverted_index.results | 101 |
| abstract_inverted_index.threats | 2, 20 |
| abstract_inverted_index.changing | 11, 48 |
| abstract_inverted_index.concepts | 43, 73, 87 |
| abstract_inverted_index.continue | 3 |
| abstract_inverted_index.exploits | 62 |
| abstract_inverted_index.improves | 91 |
| abstract_inverted_index.specific | 61 |
| abstract_inverted_index.Wikipedia | 72 |
| abstract_inverted_index.combating | 18 |
| abstract_inverted_index.correlate | 52 |
| abstract_inverted_index.different | 54 |
| abstract_inverted_index.documents | 38 |
| abstract_inverted_index.increase, | 5 |
| abstract_inverted_index.inference | 116 |
| abstract_inverted_index.knowledge | 109 |
| abstract_inverted_index.represent | 99 |
| abstract_inverted_index.research. | 69 |
| abstract_inverted_index.discovery. | 119 |
| abstract_inverted_index.extraction | 82 |
| abstract_inverted_index.historical | 23 |
| abstract_inverted_index.performing | 79 |
| abstract_inverted_index.understand | 40 |
| abstract_inverted_index.information | 118 |
| abstract_inverted_index.cybersecurity | 37, 68 |
| abstract_inverted_index.understanding | 6, 22 |
| abstract_inverted_index.cybersecurity-related | 1 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/4 |
| sustainable_development_goals[0].score | 0.4699999988079071 |
| sustainable_development_goals[0].display_name | Quality Education |
| citation_normalized_percentile.value | 0.70825265 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |