MuON: Epidemic based mutual anonymity in unstructured P2P networks

Abstract-We address the problem of a secure direct communication of two arbitrary peers in a P2P network without knowing each other's IP addresses. An efficient solution to this problem will provide a practically usable way of communication to privacy-sensitive P2P applications. Traditionally, P2P architectures view this problem as a problem of mutual anonymity of a message sender and receiver, but usual solutions suffer from various inefficiencies or complexities. By looking at the problem from a perspective of an ad-hoc network, we are able to apply a familiar approach of multihop communication and ad-hoc routing algorithms to a P2P overlay. Introduced usage of a public key as a node's identifier adds further security features, including data integrity through digital signatures, or end-to-end encryption. Proposed P2P overlay has been successfully used for building a decentralised cryptocurrency exchange Coincer.

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“…MuON [8] achieves higher bandwidth efficiency while preserving the level of anonymity of broadcasting.…”

Section: Related Workmentioning

confidence: 99%

Cryptography enhanced ad-hoc approach to P2P overlays

Zima

Hladká

2016

2016 International Conference on High Performance Computing &Amp; Simulation (HPCS)

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“…A number of applications based on Epidemic protocols have been proposed to serve different purposes in different environments. For example, Epidemic protocols have been employed to implement applications for Peer-to-Peer (P2P) overlay networks [1,2,3], distributed computing [4], mobile ad hoc networks (MANET) [5], wireless sensor networks (WSN) [6,7,8,9,10], failure detection [11], distributed data mining [12,13,14] and exascale high performance computing [15,16,17].…”

Section: Introductionmentioning

confidence: 99%

Robust and efficient membership management in large-scale dynamic networks

Poonpakdee

Fatta

2017

Future Generation Computer Systems

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Epidemic protocols are a bio-inspired communication and computation paradigm for large-scale network system based on randomised communication. These protocols rely on a membership service to build decentralised and random overlay topologies. In large-scale, dynamic network environments, node churn and failures may have a detrimental effect on the structure of the overlay topologies with negative impact on the efficiency and the accuracy of applications. Most importantly, there exists the risk of a permanent loss of global connectivity that would prevent the correct convergence of applications. This work investigates to what extent a dynamic network environment may negatively affect the performance of Epidemic membership protocols. A novel Enhanced Expander Membership Protocol (EMP+) based on the expansion properties of graphs is presented. The proposed protocol is evaluated against other membership protocols and the comparative analysis shows that EMP+ can support faster application convergence and is the first membership protocol to provide robustness against global network connectivity problems.

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“…Applications based on epidemic protocols for large and extreme-scale networked systems are emerging in many fields, including Peer-to-Peer (P2P) overlay networks [1], distributed computing [2], mobile ad hoc networks (MANET) [3], wireless sensor networks (WSN) [4] and exascale high performance computing [5,6].…”

Section: Introductionmentioning

confidence: 99%

Connectivity Recovery in Epidemic Membership Protocols

Poonpakdee

Fatta

2015

Internet and Distributed Computing Systems

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Epidemic protocols are a bio-inspired communication and computation paradigm for extreme-scale network system based on randomized communication. The protocols rely on a membership service to build decentralized and random overlay topologies. In a weakly connected overlay topology, a naive mechanism of membership protocols can break the connectivity, thus impairing the accuracy of the application. This work investigates the factors in membership protocols that cause the loss of global connectivity and introduces the first topology connectivity recovery mechanism. The mechanism is integrated into the Expander Membership Protocol, which is then evaluated against other membership protocols. The analysis shows that the proposed connectivity recovery mechanism is effective in preserving topology connectivity and also helps to improve the application performance in terms of convergence speed.

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MuON: Epidemic based mutual anonymity in unstructured P2P networks

Cited by 13 publications

References 53 publications

Cryptography enhanced ad-hoc approach to P2P overlays

Cryptography enhanced ad-hoc approach to P2P overlays

Robust and efficient membership management in large-scale dynamic networks

Connectivity Recovery in Epidemic Membership Protocols

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