Efficient blockchain-based software systems via hierarchical bucket tree

Chen, Weili; Zheng, Zibin; Ma, Mingjie; He, Pinjia; Zheng, Peilin; Zhou, Yuren

doi:10.1145/3183440.3195009

Cited by 5 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Three types of research can be found in the literature. The first type focuses on the underlying techniques, such as consensus mechanisms [22]- [24], performance improvement and evaluation [25], [26], and smart contract [27]. The second type discusses the application of blockchain technology, such as finance service [28], [29], Internet of Things (IoT) [10], [30], and smart traveling [31].…”

Section: Related Workmentioning

confidence: 99%

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

et al. 2019

Self Cite

View full text Add to dashboard Cite

Blockchain technology becomes increasingly popular. It also attracts scams, for example, a Ponzi scheme, a classic fraud, has been found making a notable amount of money on Blockchain, which has a very negative impact. To help to deal with this issue and to provide reusable research data sets for future research, this paper collects real-world samples and proposes an approach to detect Ponzi schemes implemented as smart contracts (i.e., smart Ponzi schemes) on the blockchain. First, 200 smart Ponzi schemes are obtained by manually checking more than 3,000 open source smart contracts on the Ethereum platform. Then, two kinds of features are extracted from the transaction history and operation codes of the smart contracts. Finally, a classification model is presented to detect smart Ponzi schemes. The extensive experiments show that the proposed model performs better than many traditional classification models and can achieve high accuracy for practical use. By using the proposed approach, we estimate that there are more than 500 smart Ponzi schemes running on Ethereum. Based on these results, we propose to build a uniform platform to evaluate and monitor every created smart contract for early warning of scams.

show abstract

Section: Related Workmentioning

confidence: 99%

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…A practical property of such a construction is that individual branches can be individually checked for integrity without necessarily owning the entire tree or the entire underlying data package. The Merkle tree is used within the blockchain block as an efficient representation of all the transactions that make up that block; this is useful because the block content can then be validated using a single string of fixed length, and there is no need to store all individual transactions [21].…”

Section: (C) Merkle Treementioning

confidence: 99%

Blockchain Technology Transformation in Advancing Future Change

Hariguna

Durachman

Yusup³

et al. 2021

B-FronT

View full text Add to dashboard Cite

With the development of technology in the 4th century, it can be seen from before the christian period (SM) such as the compass, calendar, pozzolana and wheel. And now the world is about to undergo a tremendous transformation. In this extraordinary change there are inventions such as printing machines, machines, digital computers, vaccines, telegraph technology, ironing tools, airplanes, and even the internet. With this discovery, the world underwent a tremendous transformation from the previous century, due to technological advances over time. Inventions made before Christ must take a long time, even centuries, but making changes today only takes a few years. But in this study, we will describe blockchain technology even centuries, but by making changes now it only takes a few years. But this research will describe blockchain technology. On Facebook, which has a new change to the concept of decentralization, but this concept is still somewhat contradictory to the current world system, so why do users need intermediaries, namely third parties to keep the transaction secure? This research will provide answers to arguments starting with a conceptual understanding which will then go through the stage of case study stages in various industries such as administration, banking, chain management, intellectual management, transportation, even asset management, logistics and energy materials. With blockchain technology, it is used to describe blockchain technology and technology that humans do everyday. There is a concept of a ledger that undergoes a gradual transformation carried out by Satoshi Nakamoto, who has a triple entry ledger that is used to master blockchain technology. In blockchain technology, it has cryptography that is useful for avoiding money laundering, knowing customer activity, knowing all banking transactions and even administration in storing people's identities. In this case study, we will discuss big companies such as IBM, Amazon, Maersk, and even a kind of startup like Ezremit and Signazy. And in this administration section it is important to identify global educational techniques and develop technology in a better direction so that it can advance society in Indonesia and blockchain technology is included in technology that advances future change.

show abstract

“…Next, by taking into account the fairness of rural green credit investigation data sharing and the validity of incentive and supervision, we believe that comparable credit investigation institutions will probably form a more efficient consortium. Therefore, the structure of blockchain hierarchical model can be set up with three levels [25][26][27]. The first level includes four categories of data sources (cloud level); the second level entails consortium data from large institutions of internet, financial technology and credit investigation demand (fog level); the third level contains consortium data from small institutions with credit investigation demand (edge level).…”

Section: Data Characteristicsmentioning

confidence: 99%

Application of Blockchain Hierarchical Model in the Realm of Rural Green Credit Investigation

Tan

Zhang

2021

Sustainability

View full text Add to dashboard Cite

In order to realize the application research of blockchain technology in the field of green credit investigation, the current paper adopts the method of a blockchain hierarchical model to study the rural green credit. With regard to the realm of rural green credit investigation, this paper sorts out the characteristics of credit data in China’s countryside by countryside credit investigation and determines the major problems and in rural green credit investigation of financial inclusion. Subsequently, the authors put forward a blockchain hierarchical model, which not only has reinforced the advantages in original blockchain dedicated to agriculture, rural areas and rural residents, such as traceability and immutability, but also has transformed the decentralization into disintermediation and changed the single-layered P2P network into a multilayered structure based on China’s rural financial environment. Finally, the authors collect and extract the proper credit investigation data on the rural internet to assess the application value of the model by investigating its practical applicability in reality and problems that may occur during the application of the model. Results show that private credit information has an important impact on the prediction accuracy, and the blockchain hierarchical model is helpful to ensure the reliability and security of rural green credit data.

show abstract

Efficient blockchain-based software systems via hierarchical bucket tree

Cited by 5 publications

References 2 publications

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

Blockchain Technology Transformation in Advancing Future Change

Application of Blockchain Hierarchical Model in the Realm of Rural Green Credit Investigation

Contact Info

Product

Resources

About