Dagger: Modeling and visualization for mission impact situation awareness
Title | Dagger: Modeling and visualization for mission impact situation awareness |
Publication Type | Conference Paper |
Year of Publication | 2016 |
Authors | E. Peterson |
Conference Name | MILCOM 2016 - 2016 IEEE Military Communications Conference |
Date Published | Nov |
Keywords | Articles of Interest, C3E 2019, Cognitive Security, Communication networks, Computational modeling, computer network security, Context, Context modeling, cyber situation awareness, Cyberspace, Dagger framework, Data models, data visualisation, Data visualization, decision-making, HMT, Human Machine Teaming, Interactions, knowledge representation, mission impact assessment, mission impact situation awareness, Modeling, Modeling Framework, Network security, network security data context, security, visualization, visualization framework |
Abstract | Dagger is a modeling and visualization framework that addresses the challenge of representing knowledge and information for decision-makers, enabling them to better comprehend the operational context of network security data. It allows users to answer critical questions such as "Given that I care about mission X, is there any reason I should be worried about what is going on in cyberspace?" or "If this system fails, will I still be able to accomplish my mission?". |
DOI | 10.1109/MILCOM.2016.7795296 |
Citation Key | 7795296 |
- HMT
- visualization framework
- visualization
- security
- network security data context
- network security
- modeling framework
- modeling
- mission impact situation awareness
- mission impact assessment
- Knowledge representation
- Interactions
- Human Machine Teaming
- C3E 2019
- decision-making
- Data visualization
- data visualisation
- Data models
- Dagger framework
- Cyberspace
- cyber situation awareness
- Context modeling
- Context
- computer network security
- Computational modeling
- Communication networks
- Cognitive Security
- Articles of Interest
- Human Machine Teaming
- Interactions
- C3E 2019