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We have been conducting a longitudinal study of the state of cryptocurrency networks, including Bitcoin and Ethereum. We have just made public our results from our study spanning 2015 to 2017, in a peer-reviewed paper about to be presented at the upcoming Financial Cryptography and Data Security conference in February [1]. Here are some highlights from our findings. Bitcoin Underutilizes Its Netwo
So I'm sure everyone has heard about the big news surrounding the DAO getting taken to the tune of $150M by a hacker using the recursive Ethereum send exploit. This post will be the first in what is potentially a series, deconstructing and explaining what went wrong at the technical level while providing a timeline tracing the actions of the attacker back through the blockchain. This first post wi
Scanning Live Ethereum Contracts for the "Unchecked-Send" Bug Smart contract programming in Ethereum is notoriously error-prone [1]. We've recently seen that several high-profile smart contracts, such as King of the Ether and The DAO-1.0, contained vulnerabilities caused by programming mistakes. Smart-contract programmers have been warned about particular programming hazards that can crop up when
In distributed storage systems, data is often partitioned across multiple servers for scalability and replicated for fault tolerance. The traditional technique for performing such partitioning and replication is to randomly assign data to replicas. Although such random assignment is relatively easy to implement, it suffers from a fatal drawback: as cluster size grows, it becomes almost guaranteed
NoSQL Meets Bitcoin and Brings Down Two Exchanges: The Story of Flexcoin and Poloniex Flexcoin was a Bitcoin exchange that shut down on March 3rd, 2014, when someone allegedly hacked in and made off with 896 BTC in the hot wallet. Because the half-million dollar heist from the hot wallet was too large for the company to bear, it folded. I'll resist the urge to ask why they did not have deposit ins
Failures are the bane of existence for distributed systems. The primary technique for masking failures is, of course, to replicate the state and functionality of the distributed system so that the service as a whole can continue to function even as some pieces may fail. But this replication has been, historically, very difficult to perform. While the first papers in this space appeared in the late
As you're undoubtedly well-aware, there are some very strong geek fashion trends in the valley. I don't mean fashion in the sense of geek haute-couture -- the fashion trends we're talking about here have to do with tech components. You've heard of it before: "here's how we built fubar.com using X, Y and Z." The blogosphere regurgitates this dreck, and people base their adoption strategies on how m
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