Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Arif, Yunifa Miftachul; Nurhayati, Hani; Kurniawan, Fachrul; Nugroho, Sudarmanto Budi; Hariadi, Mochamad

doi:10.22266/ijies2020.1231.42

Cited by 25 publications

(25 citation statements)

References 42 publications

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“…In this study, the blockchain is a decentralized technology used to overcome the circulation of tourism destination rating data between players [11]. The combination of ANN and MCRS on the recommendation engine produces the highest to lowest recommendation rank called Top N Tourism Destinations Recommendations [12].…”

Section: Design and Methodsmentioning

confidence: 99%

“…ASC is part of our research in building a tourism serious game (TSG) with a blockchain-based recommendation engine for potential tourists. Figure 1 shows this research's position, where some of the other parts we have discussed in the previous study [11] and [12]. The first research discusses blockchain-based data sharing to support data circulation used by other research sections.…”

Section: Introductionmentioning

confidence: 99%

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An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

et al. 2021

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In the field of tourism, serious games are a pedagogical media application that helps players develop travel knowledge and expertise based on game content. A tourism serious game requires a scenario control system to visualize an attractive travel scenario. This paper proposes an Automatic Scenario Control in the serious game to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria. There are two stages in system development, namely scenario design and scenario selection. In the scenario design stage, we use the Hierarchical Finite State Machine to translate challenge-based stories according to the type of attraction. While at the scenario selection stage, Dynamic Weight Topsis is a method for selecting one of the player's recommended scenarios. This study uses tourism destinations recommendations as to alternative variables, characteristics of tourism destinations as criteria, and players' expectations of tourism destinations' characteristics as weight criteria. In the implementation phase, the tourism serious game uses the content of tourism destinations in Mojokerto Indonesia. The test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player. Three things affect the scenario choice results, including the choice of month of tourist visits, player expectations of tourist destinations, and alternative input from the recommender system.

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Section: Design and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

et al. 2021

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“…Yunifa Miftachul Arif et al [19] have developed the blockchain-based data-sharing approach for a decentralised tourism destinations recommendation system. The data-sharing approach acknowledges the information broadcasting between the nodes present in the recommendation system.…”

Section: Related Workmentioning

confidence: 99%

“…System in Ref. [19] proposed a recommendation-based data sharing system. It is suitable for standard or social data but security for handling medical records.…”

Section: Related Workmentioning

confidence: 99%

Blockchain Management System with Three Layer of Security for E-Health Record using Improved 16-bit XOR Cryptography

Ramamurthy¹,

Pushpa²

2021

IJIES

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Blockchain system has various advantages in transaction data storage. Due to the distributed nature of blockchain, security becomes a concern to store private data. In literature, many techniques to maintain security in the blockchain is proposed. But the conventional data security schemes are not alone sufficient to incorporate complete security in blockchain. Hence in this paper, a blockchain management system with three layers of security is proposed. The proposed blockchain system is suggested for E-health record (EHR). The proposed system includes three layers, and the first layer contains a user authentication wall, which is used to verify the user based on unique user id, password and usage pattern. A tri-factor mechanism is used to verify the usage pattern of the user. In the second layer, the EHR manager is used to verify the query based on policy. The policy contains 48 rules, which is used to analyse the query to grand or denied access. The final layer consists of lightweight 16-bit XOR cryptography used to store the data as cybertext. The proposed system is evaluated using three medical datasets, and its performances are evaluated based on turnaround time, tardiness, actual time delay and average actual time delay. The simulation performance of the proposed technique, that turnaround time is 55ms, tardiness is 150ms, and actualtime delay is 160ms. The encryption time of Data 1, Data 2 and Data 3 is 550ms, 50ms, and 1150ms, respectively. On the other hand, the proposed technique consumed time for decryption of Data 1, Data 2 and Data 3 is 1750ms, 65ms, and 1450ms, respectively. The performance analysis proves the effectiveness of the proposed system. Ultimately, the proposed blockchain management system is more suitable for enhancing the security for handling health records.

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“…In another study, researchers successfully implemented a blockchain to handle data sharing on a tourism destinations rating system [50]. In this study, we propose a blockchain to support data sharing between nodes in a tourism destination recommendation system.…”

Section: Blockchain-based Data Sharingmentioning

confidence: 99%

Untitled

2020

IJIES

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One thing that tourists need to plan their tourism activities is a recommendation system. The tourism destinations recommendation system in this study has three primary nodes, namely user, server, and sensor. Each node requires the ability to share data to produce recommendations that the user expects through their mobile devices. In this paper, we propose the data-sharing system scheme uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them. The block architecture used in the blockchain network has three main parts, namely block information, hashes, and data. Each type of node has a different structure and direction of data communication. Where the user node sends destination assessment data to the server node, then the server node sends data from the machine learning process to the user node. The sensor sends dynamic data about popularity, traffic, and weather to the user node as consideration for finalizing the generating recommendations process. In the process of sending data, each node in the blockchain network goes through several functions, including hashing, block validation, chaining block, and broadcast. We conduct web-based experiments and analysis of the data-sharing system to illustrate the system works. The experimental results show that the system handles data circulation with an average time of mine is 84.5 ms in sending multi-criteria assessment data from the user and 119.1 ms in sending data of machine learning result from the server.

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Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System

Cited by 25 publications

References 42 publications

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation

Blockchain Management System with Three Layer of Security for E-Health Record using Improved 16-bit XOR Cryptography

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