Harika Devi Kotha, V Mnssvkr Gupta2,
Volume 31, Issue 2 (6-2020)
Abstract
Blockchain is a decentralized distributed network which allows peer-to-peer(P2P) communication among the users. As the name indicates, it deals with the group of records called blocks. We are in an era where both it is important to maintain the integrity of data as well as to fasten the process of the transaction. Blockchain helps in doing these by maintaining the timestamp on blocks and time required for a transaction can be reduced by eliminating the need of the third party during the process of the transaction. Bitcoin and Smart contract are the two major applications based on blockchain technology. Bitcoin is the first application which was developed on blockchain Technology and is a popularly known crypto-currency. Satoshi Nakamoto is the person who is behind the development of bitcoin [1]. Smart contract was defined by Szabo as " set of promises, specified in digital form, including protocols within which the parties perform on these promises [2]. This paper aims in bringing a detailed overview of blockchain and its applications followed by a case study on bitcoin.
Fatemeh Elhambakhsh, Kamyar Sabri-Laghaie,
Volume 33, Issue 1 (3-2022)
Abstract
The fourth industrial revolution has changed our lives by enabling everyone to be interconnected virtually. A trustworthy system is required to secure large volume of stored data in IoT-based devices. Blockchain technology has led to transfer and to save data in a safe way. With this in mind, the blockchain-based cryptocurrencies have gained quite a bit of popularity because of their potential for financial transactions. In this regard, monitoring transactions network is very fruitful to find users’ abnormal behaviors. In this research, a novel procedure is used to monitor blockchain cryptocurrency transactions network. To do so, a random, binary graph model is used to simulate the transactions between users, and a SCAN method is used to detect the abnormal behaviors in the simulated model. Also, a multivariate exponentially weighted moving average (MEWMA) control chart is used to monitor centrality measures. The probability of signal is used to assess the performance of the SCAN method and that of the MEWMA control chart in distinguishing abnormalities. Then, the procedure is adopted to a Bitcoin transactions dataset.
