Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Avarikioti, Georgia"'
Off-chain protocols constitute one of the most promising approaches to solve the inherent scalability issue of blockchain technologies. The core idea is to let parties transact on-chain only once to establish a channel between them, leveraging later
Externí odkaz:
http://arxiv.org/abs/2109.07429
Sharding distributed ledgers is a promising on-chain solution for scaling blockchains but lacks formal grounds, nurturing skepticism on whether such complex systems can scale blockchains securely. We fill this gap by introducing the first formal fram
Externí odkaz:
http://arxiv.org/abs/1910.10434
Payment channels allow transactions between participants of the blockchain to be executed securely off-chain, and thus provide a promising solution for the scalability problem of popular blockchains. We study the online network design problem for pay
Externí odkaz:
http://arxiv.org/abs/1908.00432
We prove Bitcoin is secure under temporary dishonest majority. We assume the adversary can corrupt a specific fraction of parties and also introduce crash failures, i.e., some honest participants are offline during the execution of the protocol. We d
Externí odkaz:
http://arxiv.org/abs/1908.00427
Payment networks were introduced to address the limitation on the transaction throughput of popular blockchains. To open a payment channel one has to publish a transaction on-chain and pay the appropriate transaction fee. A transaction can be routed
Externí odkaz:
http://arxiv.org/abs/1908.00436
Off-chain protocols (channels) are a promising solution to the scalability and privacy challenges of blockchain payments. Current proposals, however, require synchrony assumptions to preserve the safety of a channel, leaking to an adversary the exact
Externí odkaz:
http://arxiv.org/abs/1905.11360
Micropayment channels are the most prominent solution to the limitation on transaction throughput in current blockchain systems. However, in practice channels are risky because participants have to be online constantly to avoid fraud, and inefficient
Externí odkaz:
http://arxiv.org/abs/1811.12740
Clustering, a fundamental task in data science and machine learning, groups a set of objects in such a way that objects in the same cluster are closer to each other than to those in other clusters. In this paper, we consider a well-known structure, s
Externí odkaz:
http://arxiv.org/abs/1811.02288
In this paper, we analyze the topology and the content found on the "darknet", the set of websites accessible via Tor. We created a darknet spider and crawled the darknet starting from a bootstrap list by recursively following links. We explored the
Externí odkaz:
http://arxiv.org/abs/1811.01348
Payment networks, also known as channels, are a most promising solution to the throughput problem of cryptocurrencies. In this paper we study the design of capital-efficient payment networks, offline as well as online variants. We want to know how to
Externí odkaz:
http://arxiv.org/abs/1810.07603