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Chapter and Conference Paper
Empirical Study of Software Adoption Process in the Bitcoin Network
Managing the flood of devices is a modern challenge in distributed networks as it is becoming increasingly difficult to manage the software updates needed to protect the devices from malicious attacks. Bitcoin...
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Chapter and Conference Paper
Investigation and Analysis of Features in Decentralized Network Management of Minor Cryptocurrencies
Blockchain is a trustless interoperability platform for users and is managed in a decentralized structure. There are no controllers in this platform, and service continuity depends on the users present in the ...
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Chapter and Conference Paper
Toward Achieving Unanimity for Implicit Closings in a Trustless System
Blockchain, which has a decentralized management structure, is a technology that challenges conventional wisdom about the availability and durability of an unstable structure, because the network system is man...
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Chapter and Conference Paper
Threat Analysis of Poisoning Attack Against Ethereum Blockchain
In recent years, blockchain technology has witnessed remarkable developments in its application to crypto assets (cryptocurrency) considering not only function storing values but also extension of the smart c...
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Chapter and Conference Paper
Difficulty of Decentralized Structure Due to Rational User Behavior on Blockchain
Blockchain is an autonomous decentralized system, the operation of which depends on the motivation of the users who provide the nodes for managing the accurate distributed ledger. For the management of an acc...
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Chapter and Conference Paper
Network Deployments of Bitcoin Peers and Malicious Nodes Based on Darknet Sensor
Bitcoin depends on Peer-to-Peer (P2P) network in a major way and shares the connecting IP address list with the nearest peer. In addition, the blockchain which is the basic technology can be accessed by anyone...
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Chapter and Conference Paper
Stock Price Prediction with Fluctuation Patterns Using Indexing Dynamic Time War** and \(k^*\) -Nearest Neighbors
Various methods to predict stock prices have been studied. A typical method is based on time-series analysis; other methods are based on machine-learning techniques using cross-sectional data as feature values...
