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Multi-domain DDoS Mitigation Based on Blockchains


Rodrigues, Bruno; Bocek, Thomas; Stiller, Burkhard (2017). Multi-domain DDoS Mitigation Based on Blockchains. In: 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2017, Zürich, Switzerland, 10 July 2017 - 13 July 2017, 185-190.

Abstract

The exponential increase of the traffic volume makes Distributed Denial-of-Service (DDoS) attacks a top security threat to service providers. Existing DDoS defense mechanisms lack resources and flexibility to cope with attacks by themselves, and by utilizing other’s companies resources, the burden of the mitigation can be shared. Technologies as blockchain and smart contracts allow distributing attack information across multiple domains, while SDN (Software-Defined Networking) and NFV (Network Function Virtualization) enables to scale defense capabilities on demand for a single network domain. This proposal presents the design of a novel architecture combining these elements and introducing novel opportunities for flexible and efficient DDoS mitigation solutions across multiple domains.

Abstract

The exponential increase of the traffic volume makes Distributed Denial-of-Service (DDoS) attacks a top security threat to service providers. Existing DDoS defense mechanisms lack resources and flexibility to cope with attacks by themselves, and by utilizing other’s companies resources, the burden of the mitigation can be shared. Technologies as blockchain and smart contracts allow distributing attack information across multiple domains, while SDN (Software-Defined Networking) and NFV (Network Function Virtualization) enables to scale defense capabilities on demand for a single network domain. This proposal presents the design of a novel architecture combining these elements and introducing novel opportunities for flexible and efficient DDoS mitigation solutions across multiple domains.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:13 July 2017
Deposited On:26 Jan 2018 14:12
Last Modified:20 Sep 2018 04:28
Publisher:Springer
ISBN:978-3-319-60773-3
OA Status:Closed
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.aims-conference.org/2017/10.1007_978-3-319-60774-0.pdf
Other Identification Number:merlin-id:15670

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