Discharged Payment Channels: Quantifying the Lightning Network's Resilience to Topology-Based Attacks
暂无分享,去创建一个
Florian Tschorsch | Elias Rohrer | Julian Malliaris | Elias Rohrer | Florian Tschorsch | Julian Malliaris
[1] Aviv Zohar,et al. Avoiding Deadlocks in Payment Channel Networks , 2018, DPM/CBT@ESORICS.
[2] Mark E. J. Newman,et al. Power-Law Distributions in Empirical Data , 2007, SIAM Rev..
[3] Ian Goldberg,et al. Settling Payments Fast and Private: Efficient Decentralized Routing for Path-Based Transactions , 2017, NDSS.
[4] M. Jovanovi. MODELING PEER-TO-PEER NETWORK TOPOLOGIES THROUGH “ SMALL-WORLD ” MODELS AND POWER LAWS , 2001 .
[5] Dietmar Plenz,et al. powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions , 2013, PloS one.
[6] Andrew Miller,et al. Sprites: Payment Channels that Go Faster than Lightning , 2017, ArXiv.
[7] Feng Hao,et al. Towards Bitcoin Payment Networks , 2016, ACISP.
[8] Benjamin Fabian,et al. Exploring the Bitcoin Network , 2018, WEBIST.
[9] V. Latora,et al. Complex networks: Structure and dynamics , 2006 .
[10] Pavel Prihodko,et al. Flare : An Approach to Routing in Lightning Network White Paper , 2016 .
[11] Matthew Green,et al. Bolt: Anonymous Payment Channels for Decentralized Currencies , 2017, CCS.
[12] Aric Hagberg,et al. Exploring Network Structure, Dynamics, and Function using NetworkX , 2008, Proceedings of the Python in Science Conference.
[13] Emin Gün Sirer,et al. Decentralization in Bitcoin and Ethereum Networks , 2018, Financial Cryptography.
[14] P. Gould. THE GEOGRAPHICAL INTERPRETATION OF EIGENVALUES , 1967 .
[15] Giulio Malavolta,et al. Concurrency and Privacy with Payment-Channel Networks , 2017, IACR Cryptol. ePrint Arch..
[16] László Gulyás,et al. Topological Analysis of Bitcoin's Lightning Network , 2019, MARBLE.
[17] Elaine Shi,et al. On Scaling Decentralized Blockchains - (A Position Paper) , 2016, Financial Cryptography Workshops.
[18] K. Gurney,et al. Network ‘Small-World-Ness’: A Quantitative Method for Determining Canonical Network Equivalence , 2008, PloS one.
[19] Emin Gün Sirer,et al. Teechan: Payment Channels Using Trusted Execution Environments , 2016, ArXiv.
[20] Leonard M. Freeman,et al. A set of measures of centrality based upon betweenness , 1977 .
[21] Florian Tschorsch,et al. Towards a Concurrent and Distributed Route Selection for Payment Channel Networks , 2017, DPM/CBT@ESORICS.
[22] Ethan Heilman,et al. Eclipse Attacks on Bitcoin's Peer-to-Peer Network , 2015, USENIX Security Symposium.
[23] Albert,et al. Emergence of scaling in random networks , 1999, Science.
[24] Andrew Miller,et al. Discovering Bitcoin ’ s Public Topology and Influential Nodes , 2015 .
[25] Andrew V. Goldberg,et al. A new approach to the maximum flow problem , 1986, STOC '86.
[26] Andrew Miller,et al. Pisa: Arbitration Outsourcing for State Channels , 2019, IACR Cryptol. ePrint Arch..
[27] D. R. Fulkerson,et al. Maximal Flow Through a Network , 1956 .
[28] Roger Wattenhofer,et al. Towards Secure and Efficient Payment Channels , 2018, ArXiv.
[29] Christian Decker,et al. A Fast and Scalable Payment Network with Bitcoin Duplex Micropayment Channels , 2015, SSS.
[30] Ethan Heilman,et al. TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment Hub , 2017, NDSS.
[31] F. Massey. The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .
[32] Paul Erdös,et al. On random graphs, I , 1959 .