Publication: FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense
FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense
Date
Date
Date
Citations
Feng, C., Von der Assen, J., Huertas Celdran, A., Näf, S., Bovet, G., & Stiller, B. (2023). FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense. Proceedings of the International Multidisciplinary Conference on Smart and Sustainable Technologies, online. https://doi.org/10.23919/splitech58164.2023.10193681
Abstract
Abstract
Abstract
With the growing concerns about cybersattacks on IoT devices, many different cybersecurity solutions have been introduced. Among them, the Moving Target Defense (MTD) paradigm aims to reduce the likelihood of a successful threat event by changing the attack surface proactively or reactively. While proactive approaches degrade the quality of service, reactive ones cannot prevent damage. Thus, this work proposes FeDef, a federated and cooperative framework able to deploy reactively and proactively MTD techniques on resource-constrained
Metrics
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Country
Event Country
Event Country
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page Range
Page Range
Page Range
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Scope
Scope
Scope
Language
Language
Language
Date available
Date available
Date available
Series Name
Series Name
Series Name
ISBN or e-ISBN
ISBN or e-ISBN
ISBN or e-ISBN
OA Status
OA Status
OA Status
Free Access at
Free Access at
Free Access at
Publisher DOI
Metrics
Citations
Feng, C., Von der Assen, J., Huertas Celdran, A., Näf, S., Bovet, G., & Stiller, B. (2023). FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense. Proceedings of the International Multidisciplinary Conference on Smart and Sustainable Technologies, online. https://doi.org/10.23919/splitech58164.2023.10193681