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FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense


Feng, Chao; Von der Assen, Jan; Huertas Celdran, Alberto; Näf, Steven; Bovet, Gérôme; Stiller, Burkhard (2023). FeDef: A Federated Defense Framework Using Cooperative Moving Target Defense. In: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol, Croatia, 20 June 2023 - 23 June 2023. Institute of Electrical and Electronics Engineers, online.

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 devices affected by command and control-based malware. The performance of FeDef has been evaluated in a scenario composed of several devices infected with Bashlite. Multiple experiments have demonstrated the improvement in terms of system-wide infection time, service disruption, and resource consumption. Results show that FeDef can be implemented with limited resources and minimal impact on network and service availability.

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 devices affected by command and control-based malware. The performance of FeDef has been evaluated in a scenario composed of several devices infected with Bashlite. Multiple experiments have demonstrated the improvement in terms of system-wide infection time, service disruption, and resource consumption. Results show that FeDef can be implemented with limited resources and minimal impact on network and service availability.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Science Applications
Physical Sciences > Renewable Energy, Sustainability and the Environment
Physical Sciences > Safety, Risk, Reliability and Quality
Physical Sciences > Building and Construction
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:23 June 2023
Deposited On:12 Feb 2024 16:10
Last Modified:22 Feb 2024 12:30
Publisher:Institute of Electrical and Electronics Engineers
Series Name:International Conference on Smart and Sustainable Technologies (SpliTech)
ISBN:978-953-290-128-3
OA Status:Closed
Publisher DOI:https://doi.org/10.23919/splitech58164.2023.10193681