Secure and Trustable Distributed Aggregation based on Kademlia

Stéphane Grumbach 1 Robert Riemann 1
1 DATASPHERE - Dynamique du pouvoir dans l'anthropocene
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
Abstract : Aggregation of values that need to be kept confidential while guaranteeing the robustness of the process and the correctness of the result is required in an increasing number of applications. We propose an aggregation algorithm, which supports a large spectrum of potential applications including complex voting protocols. It relies on the distributed hash table Kademlia, used in BitTorrent, for pseudonymous communication between randomly predetermined peers to ensure a high degree of confidentiality which does not solely relies on cryptography. The distribution of data and computation limits the potential for data breaches, and reduces the need for institutional trust. Experimental results confirm the complexity of O(n) for n peers allowing for large-scale applications.
Type de document :
Communication dans un congrès
Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.171-185, 2017, ICT Systems Security and Privacy Protection. 〈http://ifipsec.org/2017/〉. 〈10.1007/978-3-319-58469-0_12〉
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https://hal.inria.fr/hal-01529326
Contributeur : Robert Riemann <>
Soumis le : mardi 8 août 2017 - 14:27:44
Dernière modification le : vendredi 20 avril 2018 - 15:44:27

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Stéphane Grumbach, Robert Riemann. Secure and Trustable Distributed Aggregation based on Kademlia. Sabrina De Capitani di Vimercati; Fabio Martinelli. 32th IFIP International Conference on ICT Systems Security and Privacy Protection (SEC), May 2017, Rome, Italy. Springer International Publishing, IFIP Advances in Information and Communication Technology, AICT-502, pp.171-185, 2017, ICT Systems Security and Privacy Protection. 〈http://ifipsec.org/2017/〉. 〈10.1007/978-3-319-58469-0_12〉. 〈hal-01529326v2〉

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