Modeling Big Data Enablers for Service Operations Management

Nasrollahi, Mahdi; Fathi, Mohammad Rezā

doi:10.1007/978-3-030-87304-2_3

Cited by 3 publications

(2 citation statements)

References 61 publications

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“…In globalization, the significance of data management and presentation is beyond dispute . Since the advent of the early 2000s, utilizing Big Data has facilitated the widespread application of data globally (Nasrollahi & Fathi, 2022). The ability to store data through cloud computing and the growing prevalence of digital technology have facilitated this advancement (Gahi & El Alaoui, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

An evaluation of the Efficacy of the Human Resource Data Analytics on Artificial Intelligence Program

Abdul Wahab Samad, Zahera Mega Utama

2024

jes

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The primary purpose of this study is to investigate the advancement of data analytics application programs in human resources, along with the challenges faced by data analytics in significant artificial intelligence throughout the industrial era 4.0 in Indonesia. Data collection is facilitated through the administration of questionnaires, conducting interviews, and administering surveys. This inquiry aims to establish the feasibility of substituting human intelligence with computer intelligence. This undertaking is predicated on the idea that individuals and machines possess commensurate abilities to handle vast quantities of data. The chosen strategy for analytics is problematic from a qualitative standpoint. The reason for this phenomenon is the adoption of the method. Based on the research outcomes, it has been observed that within the context of the fourth industrial revolution, data analytics can be effectively managed by robots possessing extensive data storage capabilities comparable to human counterparts. This applies to all facets of human intelligence, particularly weak Artificial Intelligence.

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Section: Literature Reviewmentioning

confidence: 99%

An evaluation of the Efficacy of the Human Resource Data Analytics on Artificial Intelligence Program

Abdul Wahab Samad, Zahera Mega Utama

2024

jes

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“…These schemes enable the vehicle to communicate on the road according to the pseudonym produced by the authority, and authenticate the identity of the vehicle through interaction with the RSU. However, these schemes are relatively dependent on the RSU, which leads to the problem of excessive RSU workload [3][4][5].…”

Section: Research Status Quomentioning

confidence: 99%

Analysis of Malicious Node Identification Algorithm of Internet of Vehicles under Blockchain Technology: A Case Study of Intelligent Technology in Automotive Engineering

Chen

Zhu

2022

Applied Sciences

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False messages sent by malicious or selfish vehicle nodes will reduce the operation efficiency of the Internet of Vehicles, and can even endanger drivers in serious cases. Therefore, it is very important to detect malicious vehicle nodes in the network in a timely manner. At present, the existing research on detecting malicious vehicle nodes in the Internet of Vehicles has some problems, such as difficulties with identification and a low detection efficiency. Blockchain technology cannot be tampered with or deleted and has open and transparent characteristics. Therefore, as a shared distributed ledger in decentralized networking, blockchain can promote collaboration between transactions, processing and interaction equipment, and help to establish a scalable, universal, private, secure and reliable car networking system. This paper puts forward a block-network-based malicious node detection mechanism. Using blockchain technology in a car network for malicious node identification algorithm could create a security scheme that can ensure smooth communication between network vehicles. A consensus on legal vehicle identification, message integrity verification, false message identification and malicious vehicle node identification form the four parts of the security scheme. Based on the public–private key mechanism and RSA encryption algorithm, combined with the malicious node identification algorithm in the Internet of Vehicles, the authenticity of the vehicle’s identity and message is determined to protect the vehicle’s security and privacy. First, a blockchain-based, malicious node detection architecture is constructed for the Internet of vehicles. We propose a malicious node identification algorithm based on the blockchain consensus mechanism. Combined the above detection architecture with the consensus mechanism, a comprehensive and accurate verification of vehicle identity and message authenticity is ensured, looking at the four aspects of vehicle identification, accounting node selection, verification of transmission message integrity and identification of the authenticity of transmission messages. Subsequently, the verification results will be globally broadcast in the Internet of Vehicles to suppress malicious behavior, further ensure that reliable event messages are provided for the driver, improve the VANET operation environment, and improve the operation efficiency of the Internet of Vehicles. Comparing the proposed detection mechanism using simulation software, the simulation results show that the proposed blockchain-based trust detection mechanism can effectively improve the accuracy of vehicle node authentication and identification of false messages, and improve network transmission performance in the Internet of Vehicles environment.

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Big Data: A System-Forming Role in the Development of the Information Society and the Digital Economy for the Transition to Industry 5.0

Popkova

2023

Studies in Big Data

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Modeling Big Data Enablers for Service Operations Management

Cited by 3 publications

References 61 publications

An evaluation of the Efficacy of the Human Resource Data Analytics on Artificial Intelligence Program

An evaluation of the Efficacy of the Human Resource Data Analytics on Artificial Intelligence Program

Analysis of Malicious Node Identification Algorithm of Internet of Vehicles under Blockchain Technology: A Case Study of Intelligent Technology in Automotive Engineering

Big Data: A System-Forming Role in the Development of the Information Society and the Digital Economy for the Transition to Industry 5.0

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