CAPD: a context-aware, policy-driven framework for secure and resilient IoBT operations Article Swipe
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1117/12.2618106
The Internet of Battlefield Things (IoBT) will advance the operational effectiveness of infantry units. However, this requires autonomous assets such as sensors, drones, combat equipment, and uncrewed vehicles to collaborate, securely share information, and be resilient to adversary attacks in contested multi-domain operations. CAPD addresses this problem by providing a context-aware, policy-driven framework supporting data and knowledge exchange among autonomous entities in a battlespace. We propose an IoBT ontology that facilitates controlled information sharing to enable semantic interoperability between systems. Its key contributions include providing a knowledge graph with a shared semantic schema, integration with background knowledge, efficient mechanisms for enforcing data consistency and drawing inferences, and supporting attribute-based access control. The sensors in the IoBT provide data that create populated knowledge graphs based on the ontology. This paper describes using CAPD to detect and mitigate adversary actions. CAPD enables situational awareness using reasoning over the sensed data and SPARQL queries. For example, adversaries can cause sensor failure or hijacking and disrupt the tactical networks to degrade video surveillance. In such instances, CAPD uses an ontology-based reasoner to see how alternative approaches can still support the mission. Depending on bandwidth availability, the reasoner initiates the creation of a reduced frame rate grayscale video by active transcoding or transmits only still images. This ability to reason over the mission sensed environment, and attack context permits the autonomous IoBT system to exhibit resilience in contested conditions.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1117/12.2618106
- https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4286284483
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4286284483Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1117/12.2618106Digital Object Identifier
- Title
-
CAPD: a context-aware, policy-driven framework for secure and resilient IoBT operationsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-06Full publication date if available
- Authors
-
Sai Sree Laya Chukkapalli, Anupam Joshi, Tim Finin, Robert F. ErbacherList of authors in order
- Landing page
-
https://doi.org/10.1117/12.2618106Publisher landing page
- PDF URL
-
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdfDirect OA link when available
- Concepts
-
Computer science, Situation awareness, Ontology, Semantic reasoner, Computer security, Artificial intelligence, Aerospace engineering, Engineering, Epistemology, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4286284483 |
|---|---|
| doi | https://doi.org/10.1117/12.2618106 |
| ids.doi | https://doi.org/10.13016/m22z5f-amk1 |
| ids.openalex | https://openalex.org/W4286284483 |
| fwci | 0.39159764 |
| type | article |
| title | CAPD: a context-aware, policy-driven framework for secure and resilient IoBT operations |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 25 |
| biblio.first_page | 25 |
| topics[0].id | https://openalex.org/T10215 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.986299991607666 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Semantic Web and Ontologies |
| topics[1].id | https://openalex.org/T11273 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9848999977111816 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Advanced Graph Neural Networks |
| topics[2].id | https://openalex.org/T10927 |
| topics[2].field.id | https://openalex.org/fields/33 |
| topics[2].field.display_name | Social Sciences |
| topics[2].score | 0.9842000007629395 |
| topics[2].domain.id | https://openalex.org/domains/2 |
| topics[2].domain.display_name | Social Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/3312 |
| topics[2].subfield.display_name | Sociology and Political Science |
| topics[2].display_name | Access Control and Trust |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.8649391531944275 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C145804949 |
| concepts[1].level | 2 |
| concepts[1].score | 0.6126449108123779 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q478123 |
| concepts[1].display_name | Situation awareness |
| concepts[2].id | https://openalex.org/C25810664 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5866361856460571 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q44325 |
| concepts[2].display_name | Ontology |
| concepts[3].id | https://openalex.org/C9616225 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5447559952735901 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3929429 |
| concepts[3].display_name | Semantic reasoner |
| concepts[4].id | https://openalex.org/C38652104 |
| concepts[4].level | 1 |
| concepts[4].score | 0.47903910279273987 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[4].display_name | Computer security |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.1696353256702423 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C146978453 |
| concepts[6].level | 1 |
| concepts[6].score | 0.0 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q3798668 |
| concepts[6].display_name | Aerospace engineering |
| concepts[7].id | https://openalex.org/C127413603 |
| concepts[7].level | 0 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[7].display_name | Engineering |
| concepts[8].id | https://openalex.org/C111472728 |
| concepts[8].level | 1 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q9471 |
| concepts[8].display_name | Epistemology |
| concepts[9].id | https://openalex.org/C138885662 |
| concepts[9].level | 0 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[9].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.8649391531944275 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/situation-awareness |
| keywords[1].score | 0.6126449108123779 |
| keywords[1].display_name | Situation awareness |
| keywords[2].id | https://openalex.org/keywords/ontology |
| keywords[2].score | 0.5866361856460571 |
| keywords[2].display_name | Ontology |
| keywords[3].id | https://openalex.org/keywords/semantic-reasoner |
| keywords[3].score | 0.5447559952735901 |
| keywords[3].display_name | Semantic reasoner |
| keywords[4].id | https://openalex.org/keywords/computer-security |
| keywords[4].score | 0.47903910279273987 |
| keywords[4].display_name | Computer security |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.1696353256702423 |
| keywords[5].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.1117/12.2618106 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV |
| locations[0].landing_page_url | https://doi.org/10.1117/12.2618106 |
| locations[1].id | pmh:oai:mdsoar.org:11603/25496 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306402556 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | Maryland Shared Open Access Repository (USMAI Consortium) |
| locations[1].source.host_organization | |
| locations[1].source.host_organization_name | |
| locations[1].license | public-domain |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | https://openalex.org/licenses/public-domain |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/11603/25496 |
| locations[2].id | doi:10.13016/m22z5f-amk1 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306402644 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | Digital Repository at the University of Maryland (University of Maryland College Park) |
| locations[2].source.host_organization | https://openalex.org/I66946132 |
| locations[2].source.host_organization_name | University of Maryland, College Park |
| locations[2].source.host_organization_lineage | https://openalex.org/I66946132 |
| locations[2].license | public-domain |
| locations[2].pdf_url | |
| locations[2].version | |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/public-domain |
| locations[2].is_accepted | False |
| locations[2].is_published | |
| locations[2].raw_source_name | |
| locations[2].landing_page_url | https://doi.org/10.13016/m22z5f-amk1 |
| indexed_in | crossref, datacite |
| authorships[0].author.id | https://openalex.org/A5039152356 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-3663-9231 |
| authorships[0].author.display_name | Sai Sree Laya Chukkapalli |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[0].affiliations[0].raw_affiliation_string | Univ. of Maryland, Baltimore County (United States) |
| authorships[0].institutions[0].id | https://openalex.org/I79272384 |
| authorships[0].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sai Sree Laya Chukkapalli |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Univ. of Maryland, Baltimore County (United States) |
| authorships[1].author.id | https://openalex.org/A5020975010 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-8641-3193 |
| authorships[1].author.display_name | Anupam Joshi |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[1].affiliations[0].raw_affiliation_string | Univ. of Maryland, Baltimore County (United States) |
| authorships[1].institutions[0].id | https://openalex.org/I79272384 |
| authorships[1].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Anupam Joshi |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Univ. of Maryland, Baltimore County (United States) |
| authorships[2].author.id | https://openalex.org/A5009972149 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Tim Finin |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I79272384 |
| authorships[2].affiliations[0].raw_affiliation_string | Univ. of Maryland, Baltimore County (United States) |
| authorships[2].institutions[0].id | https://openalex.org/I79272384 |
| authorships[2].institutions[0].ror | https://ror.org/02qskvh78 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I79272384 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Maryland, Baltimore County |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Tim Finin |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Univ. of Maryland, Baltimore County (United States) |
| authorships[3].author.id | https://openalex.org/A5081335035 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Robert F. Erbacher |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I166416128, https://openalex.org/I4210088792 |
| authorships[3].affiliations[0].raw_affiliation_string | United States Army Research Lab. (United States) |
| authorships[3].institutions[0].id | https://openalex.org/I166416128 |
| authorships[3].institutions[0].ror | https://ror.org/011hc8f90 |
| authorships[3].institutions[0].type | government |
| authorships[3].institutions[0].lineage | https://openalex.org/I1304082316, https://openalex.org/I1330347796, https://openalex.org/I166416128, https://openalex.org/I2802705668, https://openalex.org/I4210154437 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | DEVCOM Army Research Laboratory |
| authorships[3].institutions[1].id | https://openalex.org/I4210088792 |
| authorships[3].institutions[1].ror | https://ror.org/00afsp483 |
| authorships[3].institutions[1].type | government |
| authorships[3].institutions[1].lineage | https://openalex.org/I1304082316, https://openalex.org/I1330347796, https://openalex.org/I4210088792 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | United States Army |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Robert F. Erbacher |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | United States Army Research Lab. (United States) |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | CAPD: a context-aware, policy-driven framework for secure and resilient IoBT operations |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10215 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.986299991607666 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Semantic Web and Ontologies |
| related_works | https://openalex.org/W2229397909, https://openalex.org/W2407348918, https://openalex.org/W3182224752, https://openalex.org/W3082284793, https://openalex.org/W2376254603, https://openalex.org/W2394214882, https://openalex.org/W2362192218, https://openalex.org/W2348484885, https://openalex.org/W3118991974, https://openalex.org/W2770734444 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2023 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2022 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 3 |
| best_oa_location.id | doi:10.1117/12.2618106 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV |
| best_oa_location.landing_page_url | https://doi.org/10.1117/12.2618106 |
| primary_location.id | doi:10.1117/12.2618106 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12113/121130P/CAPD--a-context-aware-policy-driven-framework-for-secure/10.1117/12.2618106.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV |
| primary_location.landing_page_url | https://doi.org/10.1117/12.2618106 |
| publication_date | 2022-06-06 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W2908495014, https://openalex.org/W6644225217, https://openalex.org/W2464430655, https://openalex.org/W2097599964, https://openalex.org/W6649668939, https://openalex.org/W6635611149, https://openalex.org/W2097171586, https://openalex.org/W6629025635, https://openalex.org/W6922518166, https://openalex.org/W1542399824, https://openalex.org/W2945857063, https://openalex.org/W3033102751, https://openalex.org/W3015935172, https://openalex.org/W2470195329, https://openalex.org/W6740071263, https://openalex.org/W3084193715, https://openalex.org/W3037295899, https://openalex.org/W3129003255, https://openalex.org/W3190310963, https://openalex.org/W2241378342, https://openalex.org/W2896439152, https://openalex.org/W2960904101, https://openalex.org/W2965718670, https://openalex.org/W4229439215, https://openalex.org/W6661564250, https://openalex.org/W2308978510, https://openalex.org/W2578649592, https://openalex.org/W1964473901, https://openalex.org/W7053032915, https://openalex.org/W2475276579, https://openalex.org/W1975385576, https://openalex.org/W2487152776, https://openalex.org/W1594706025, https://openalex.org/W4289533217, https://openalex.org/W1997199359, https://openalex.org/W2725276470, https://openalex.org/W4234500730 |
| referenced_works_count | 37 |
| abstract_inverted_index.a | 49, 62, 85, 89, 197 |
| abstract_inverted_index.In | 169 |
| abstract_inverted_index.We | 64 |
| abstract_inverted_index.an | 66, 174 |
| abstract_inverted_index.as | 20 |
| abstract_inverted_index.be | 34 |
| abstract_inverted_index.by | 47, 203 |
| abstract_inverted_index.in | 39, 61, 113, 231 |
| abstract_inverted_index.of | 2, 11, 196 |
| abstract_inverted_index.on | 124, 188 |
| abstract_inverted_index.or | 158, 206 |
| abstract_inverted_index.to | 28, 36, 74, 132, 165, 177, 213, 228 |
| abstract_inverted_index.For | 151 |
| abstract_inverted_index.Its | 80 |
| abstract_inverted_index.The | 0, 111 |
| abstract_inverted_index.and | 25, 33, 55, 103, 106, 134, 148, 160, 220 |
| abstract_inverted_index.can | 154, 182 |
| abstract_inverted_index.for | 99 |
| abstract_inverted_index.how | 179 |
| abstract_inverted_index.key | 81 |
| abstract_inverted_index.see | 178 |
| abstract_inverted_index.the | 8, 114, 125, 145, 162, 185, 191, 194, 216, 224 |
| abstract_inverted_index.CAPD | 43, 131, 138, 172 |
| abstract_inverted_index.IoBT | 67, 115, 226 |
| abstract_inverted_index.This | 127, 211 |
| abstract_inverted_index.data | 54, 101, 117, 147 |
| abstract_inverted_index.only | 208 |
| abstract_inverted_index.over | 144, 215 |
| abstract_inverted_index.rate | 200 |
| abstract_inverted_index.such | 19, 170 |
| abstract_inverted_index.that | 69, 118 |
| abstract_inverted_index.this | 15, 45 |
| abstract_inverted_index.uses | 173 |
| abstract_inverted_index.will | 6 |
| abstract_inverted_index.with | 88, 94 |
| abstract_inverted_index.among | 58 |
| abstract_inverted_index.based | 123 |
| abstract_inverted_index.cause | 155 |
| abstract_inverted_index.frame | 199 |
| abstract_inverted_index.graph | 87 |
| abstract_inverted_index.paper | 128 |
| abstract_inverted_index.share | 31 |
| abstract_inverted_index.still | 183, 209 |
| abstract_inverted_index.using | 130, 142 |
| abstract_inverted_index.video | 167, 202 |
| abstract_inverted_index.(IoBT) | 5 |
| abstract_inverted_index.SPARQL | 149 |
| abstract_inverted_index.Things | 4 |
| abstract_inverted_index.access | 109 |
| abstract_inverted_index.active | 204 |
| abstract_inverted_index.assets | 18 |
| abstract_inverted_index.attack | 221 |
| abstract_inverted_index.combat | 23 |
| abstract_inverted_index.create | 119 |
| abstract_inverted_index.detect | 133 |
| abstract_inverted_index.enable | 75 |
| abstract_inverted_index.graphs | 122 |
| abstract_inverted_index.reason | 214 |
| abstract_inverted_index.sensed | 146, 218 |
| abstract_inverted_index.sensor | 156 |
| abstract_inverted_index.shared | 90 |
| abstract_inverted_index.system | 227 |
| abstract_inverted_index.units. | 13 |
| abstract_inverted_index.ability | 212 |
| abstract_inverted_index.advance | 7 |
| abstract_inverted_index.attacks | 38 |
| abstract_inverted_index.between | 78 |
| abstract_inverted_index.context | 222 |
| abstract_inverted_index.degrade | 166 |
| abstract_inverted_index.disrupt | 161 |
| abstract_inverted_index.drawing | 104 |
| abstract_inverted_index.drones, | 22 |
| abstract_inverted_index.enables | 139 |
| abstract_inverted_index.exhibit | 229 |
| abstract_inverted_index.failure | 157 |
| abstract_inverted_index.images. | 210 |
| abstract_inverted_index.include | 83 |
| abstract_inverted_index.mission | 217 |
| abstract_inverted_index.permits | 223 |
| abstract_inverted_index.problem | 46 |
| abstract_inverted_index.propose | 65 |
| abstract_inverted_index.provide | 116 |
| abstract_inverted_index.reduced | 198 |
| abstract_inverted_index.schema, | 92 |
| abstract_inverted_index.sensors | 112 |
| abstract_inverted_index.sharing | 73 |
| abstract_inverted_index.support | 184 |
| abstract_inverted_index.However, | 14 |
| abstract_inverted_index.Internet | 1 |
| abstract_inverted_index.actions. | 137 |
| abstract_inverted_index.control. | 110 |
| abstract_inverted_index.creation | 195 |
| abstract_inverted_index.entities | 60 |
| abstract_inverted_index.example, | 152 |
| abstract_inverted_index.exchange | 57 |
| abstract_inverted_index.infantry | 12 |
| abstract_inverted_index.mission. | 186 |
| abstract_inverted_index.mitigate | 135 |
| abstract_inverted_index.networks | 164 |
| abstract_inverted_index.ontology | 68 |
| abstract_inverted_index.queries. | 150 |
| abstract_inverted_index.reasoner | 176, 192 |
| abstract_inverted_index.requires | 16 |
| abstract_inverted_index.securely | 30 |
| abstract_inverted_index.semantic | 76, 91 |
| abstract_inverted_index.sensors, | 21 |
| abstract_inverted_index.systems. | 79 |
| abstract_inverted_index.tactical | 163 |
| abstract_inverted_index.uncrewed | 26 |
| abstract_inverted_index.vehicles | 27 |
| abstract_inverted_index.Depending | 187 |
| abstract_inverted_index.addresses | 44 |
| abstract_inverted_index.adversary | 37, 136 |
| abstract_inverted_index.awareness | 141 |
| abstract_inverted_index.bandwidth | 189 |
| abstract_inverted_index.contested | 40, 232 |
| abstract_inverted_index.describes | 129 |
| abstract_inverted_index.efficient | 97 |
| abstract_inverted_index.enforcing | 100 |
| abstract_inverted_index.framework | 52 |
| abstract_inverted_index.grayscale | 201 |
| abstract_inverted_index.hijacking | 159 |
| abstract_inverted_index.initiates | 193 |
| abstract_inverted_index.knowledge | 56, 86, 121 |
| abstract_inverted_index.ontology. | 126 |
| abstract_inverted_index.populated | 120 |
| abstract_inverted_index.providing | 48, 84 |
| abstract_inverted_index.reasoning | 143 |
| abstract_inverted_index.resilient | 35 |
| abstract_inverted_index.transmits | 207 |
| abstract_inverted_index.approaches | 181 |
| abstract_inverted_index.autonomous | 17, 59, 225 |
| abstract_inverted_index.background | 95 |
| abstract_inverted_index.controlled | 71 |
| abstract_inverted_index.equipment, | 24 |
| abstract_inverted_index.instances, | 171 |
| abstract_inverted_index.knowledge, | 96 |
| abstract_inverted_index.mechanisms | 98 |
| abstract_inverted_index.resilience | 230 |
| abstract_inverted_index.supporting | 53, 107 |
| abstract_inverted_index.Battlefield | 3 |
| abstract_inverted_index.adversaries | 153 |
| abstract_inverted_index.alternative | 180 |
| abstract_inverted_index.conditions. | 233 |
| abstract_inverted_index.consistency | 102 |
| abstract_inverted_index.facilitates | 70 |
| abstract_inverted_index.inferences, | 105 |
| abstract_inverted_index.information | 72 |
| abstract_inverted_index.integration | 93 |
| abstract_inverted_index.operational | 9 |
| abstract_inverted_index.operations. | 42 |
| abstract_inverted_index.situational | 140 |
| abstract_inverted_index.transcoding | 205 |
| abstract_inverted_index.battlespace. | 63 |
| abstract_inverted_index.collaborate, | 29 |
| abstract_inverted_index.environment, | 219 |
| abstract_inverted_index.information, | 32 |
| abstract_inverted_index.multi-domain | 41 |
| abstract_inverted_index.availability, | 190 |
| abstract_inverted_index.contributions | 82 |
| abstract_inverted_index.effectiveness | 10 |
| abstract_inverted_index.policy-driven | 51 |
| abstract_inverted_index.surveillance. | 168 |
| abstract_inverted_index.context-aware, | 50 |
| abstract_inverted_index.ontology-based | 175 |
| abstract_inverted_index.attribute-based | 108 |
| abstract_inverted_index.interoperability | 77 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.61894727 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |