Blockchain side implementation of Pure Wallet (PW): An offline transaction architecture

Igboanusi, Ikechi Saviour; Dirgantoro, Kevin Putra; Lee, Jae-Min; Kim, Dong-Seong

doi:10.1016/j.icte.2021.08.004

Cited by 12 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Authors in [19] offered a Pure Wallet architecture to use blockchain for offline transactions successfully. The primary addition that they have made to the architecture is the introduction of a token manager in the form of a smart contract responsible for managing offline tokens.…”

Section: Literature Reviewmentioning

confidence: 99%

Blockchain Mobile Wallet with Secure Offline Transactions

Rasheed¹,

Al-Shqeerat²,

Ghorab³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

There has been an increase in the adoption of mobile payment systems worldwide in the past few years. However, poor Internet connection in rural regions continues to be an obstacle to the widespread use of such technologies. On top of that, there are significant problems with the currently available offline wallets; for instance, the payee cannot verify the number of coins received without access to the Internet. Additionally, it has been demonstrated that some existing systems are susceptible to false token generation, and some do not even permit the user to divide the offline token into smaller portions to be used as change. This paper proposes a blockchainbased wallet system that provides a secure mobile payment service even if a user cannot access a reliable Internet connection. Our approach relies on Bluetooth and digital signatures to establish and build a trust connection between the parties. The proposed solution overcomes the main limitations of existing systems that use offline transactions, such as the generation of fake offline tokens and the indivisibility of offline tokens. The user buys Offline Tokens (OTs) from a server called an Offline Token Manager (OTM) to use them later to perform offline transactions. Each mobile device must store a single, signed offline token transaction to prevent fake tokens. On the other hand, all offline transactions will be kept as a history in a particular local database. Finally, when the receiver becomes online, it will send a convert request to the OTM to change the value of the OTs to the appropriate amount in real coins. This step requires a connection to the Internet. To evaluate the effectiveness of the system, the Solidity programming language was used to develop a smart contract on the Ethereum blockchain with a backend application programming interface (API) and an android mobile application. The proposed method has an advantage over other prominent wallets.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Blockchain Mobile Wallet with Secure Offline Transactions

Rasheed¹,

Al-Shqeerat²,

Ghorab³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…To advance the blockchain facilities, Ikechi SaviourIgboanusi et al [24] have designed a blockchain model for the offline application to transfer the data. This method aims to help the smart contract whenever the connection is lost.…”

Section: ░ 2 Related Workmentioning

confidence: 99%

“…Several blockchain models, such as the blockchain model for the offline application [24], centralized and decentralized blockchain strategy [25], etc., have been executed in the past for several online applications. But, still, the security threats were not ended because of large complex data [19,20].…”

mentioning

confidence: 99%

An Intelligent Secure Monitoring Phase in Blockchain Framework for Large Transaction

Shareef

Sridevi

Raju

et al. 2022

IJEER

View full text Add to dashboard Cite

Blockchain is the key concept for security purposes for digital applications. But, in some cases, the effectiveness of the malicious behavior has degraded the security function of the blockchain. So, to enrich the blockchain process prediction and to neglect the malicious event from the data broadcasting medium is very important. So, the current research article intends to develop an efficient monitoring strategy based on incorporating deep features. Hence, the designed paradigm is termed as Lion-based Convolutional Neural Model (LbCNM) with serpent encryption. Before performing the encryption process, the novel LbCNM parameters have been activated to monitor the data process channel in the blockchain environment. Here, the malicious behaviors were estimated by incorporating the known and unknown user behavior in the Lion fitness model. During the execution, the fitness formulation of Lion is acted in the classification layer of the convolutional model. Once the present malicious characteristics have been detected, it is neglected from the data broadcasting channel. Hereafter, the transactional data has been encrypted and stored in the specific cloud. The planned strategy is verified in the python platform. The successful performance of the LbCNM with serpent has been analyzed with some key parameters like confidential rate, accuracy, data overhead, and processing time.

show abstract

“…At the same time, the intention to recommend is driven by aspects of comparative advantage, compatibility, complexity, and observability (Kaur et al, 2020). The next developments in the digital wallet are cryptocurrency wallet (Sung, 2021) and Pure Wallet, which extends the concept of Blockchain cryptocurrency for offline transactions (Igboanusi et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Understanding the attributes of digital wallet customers: Segmentation based on perceived risk during the Covid-19 pandemic

Sutarso¹,

Sekarsari²,

Hidayati³

et al. 2022

jeb

View full text Add to dashboard Cite

This research emphasizes the importance of digital wallet customer segmentation, mainly based on customer risk perceptions during the Covid-19 pandemic. The fundamental contribution of the study was to explain the concept of perceived risk in a digital wallet, also to confirm risk factors in digital wallets, and identify segments based on perceived risk factors. The respondents are 270 digital wallet users of OVO, Gopay, and Dana obtained in Surabaya, Indonesia, during the Covid-19 pandemic, which was taken using the purposive sampling technique. The multiple analysis data were carried out using factor analysis, cluster analysis, and difference test techniques. An essential finding of this study shows that perceived risk factors consist of security, financial, social, and operational risks. There are three segments based on the perceived risk: low-risk, medium-risk, and high-risk. Each segment has different characteristics and managerial implications.

show abstract

Blockchain side implementation of Pure Wallet (PW): An offline transaction architecture

Cited by 12 publications

References 11 publications

Blockchain Mobile Wallet with Secure Offline Transactions

Blockchain Mobile Wallet with Secure Offline Transactions

An Intelligent Secure Monitoring Phase in Blockchain Framework for Large Transaction

Understanding the attributes of digital wallet customers: Segmentation based on perceived risk during the Covid-19 pandemic

Contact Info

Product

Resources

About