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Review and Preview01:10

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In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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In skeletal muscles, acetylcholine is released by nerve terminals at the motor endplate—the point of synaptic communication between motor neurons and muscle fibers. The binding of acetylcholine to its receptors on the sarcolemma allows entry of sodium ions into the cell and triggers an action potential in the muscle cell. Thus, electrical signals from the brain are transmitted to the muscle. Subsequently, the enzyme acetylcholinesterase breaks down acetylcholine to prevent excessive...
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Smart Contract-Based Review System for an IoT Data Marketplace.

Ji-Sun Park1, Taek-Young Youn2, Hye-Bin Kim3

  • 1Interdisciplinary Program of Information Security, Graduate School, Pukyong National University, Busan 48513, Korea. 201211812@pukyong.ac.kr.

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Summary

This study introduces a blockchain-based review system for Internet of Things (IoT) data marketplaces. It enhances trust in peer-to-peer (P2P) trading by ensuring data and owner reputation integrity using Ethereum smart contracts.

Keywords:
Ethereum smart contractIoTblockchaindata integritydata marketplacehome automationsmart home

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Area of Science:

  • Computer Science
  • Information Security
  • Distributed Systems

Background:

  • Internet of Things (IoT) devices generate extensive log data crucial for enterprise analysis.
  • Increasing demand for IoT data has led to the development of data sharing platforms and marketplaces.
  • Peer-to-peer (P2P) IoT data marketplaces face challenges in establishing trust between data owners and enterprises.

Purpose of the Study:

  • To propose a novel review system for P2P IoT data marketplaces.
  • To enhance the trustworthiness of data owners and the data traded within these marketplaces.
  • To address the security vulnerabilities and trust issues inherent in traditional server-client review systems.

Main Methods:

  • Development of a review system utilizing Ethereum smart contracts.
  • Leveraging blockchain technology for decentralized and immutable review storage.
  • Analysis of system performance, focusing on the gas costs associated with Ethereum transactions.

Main Results:

  • The proposed system operates on the P2P network, offering flexibility and resilience.
  • Blockchain's public ledger ensures the integrity and immutability of all registered reviews.
  • Performance analysis provides insights into the gas expenditure for system functions.

Conclusions:

  • The blockchain-based review system effectively enhances trust in P2P IoT data marketplaces.
  • Ethereum smart contracts provide a secure and flexible alternative to traditional review mechanisms.
  • The system's reliance on blockchain ensures data integrity and combats potential malicious activities.