Data integrity verification for cloud storage

As Singapore cements its position as one of the world's largest bunkering hubs, the nation's economy increasingly relies on an efficient and transparent marine fuel supply chain.[1] This project aims to develop an advanced digital system for the collection, verification, and storage of bun...

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Main Author: Zhang, Haoran
Other Authors: Soong Boon Hee
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176912
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1769122024-05-24T15:43:58Z Data integrity verification for cloud storage Zhang, Haoran Soong Boon Hee School of Electrical and Electronic Engineering National Metrology Centre (NMC) EBHSOONG@ntu.edu.sg Computer and Information Science Data integrity verification As Singapore cements its position as one of the world's largest bunkering hubs, the nation's economy increasingly relies on an efficient and transparent marine fuel supply chain.[1] This project aims to develop an advanced digital system for the collection, verification, and storage of bunkering data, ensuring data integrity and security. The system comprises two core parts: software and artificial intelligence (AI). The software part is focused on building a comprehensive system consisting of many software entities those include data collection, verification, encryption, and ensuring data integrity. Following that, the system aims to integrate with the AI data detection and AI data repair technologies we have developed. Moreover, the project deeply investigates key technical issues within the field of software engineering, such as concurrent and parallel programming, as well as automation programming, to improve system efficiency and reliability. The software system strives to accurately replicate real-world conditions as much as possible, including aspects such as data volume and data velocity. The AI part, through in-depth analysis of historical bunkering data, achieves a profound understanding of the relationships between different physical properties of marine fuels in pipelines. This advancement enables the prevention of illegal influences and modifications to the physical parameters within pipelines, effectively safeguarding against potential economic losses to the nation. Furthermore, for those non-fraudulent data affected by occasional errors in mass flow rate resulting in extreme values, our system will employ LSTM (Long Short-Term Memory) technology to accurately predict values, thereby minimizing losses due to legitimate errors caused by environmental factors. This project not only elevates the digitalization level of Singapore's marine fuel supply chain but also provides valuable practical experience and research outcomes for the application of software engineering and artificial intelligence. Bachelor's degree 2024-05-23T05:13:04Z 2024-05-23T05:13:04Z 2024 Final Year Project (FYP) Zhang, H. (2024). Data integrity verification for cloud storage. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176912 https://hdl.handle.net/10356/176912 en B3162-231 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Data integrity verification
spellingShingle Computer and Information Science
Data integrity verification
Zhang, Haoran
Data integrity verification for cloud storage
description As Singapore cements its position as one of the world's largest bunkering hubs, the nation's economy increasingly relies on an efficient and transparent marine fuel supply chain.[1] This project aims to develop an advanced digital system for the collection, verification, and storage of bunkering data, ensuring data integrity and security. The system comprises two core parts: software and artificial intelligence (AI). The software part is focused on building a comprehensive system consisting of many software entities those include data collection, verification, encryption, and ensuring data integrity. Following that, the system aims to integrate with the AI data detection and AI data repair technologies we have developed. Moreover, the project deeply investigates key technical issues within the field of software engineering, such as concurrent and parallel programming, as well as automation programming, to improve system efficiency and reliability. The software system strives to accurately replicate real-world conditions as much as possible, including aspects such as data volume and data velocity. The AI part, through in-depth analysis of historical bunkering data, achieves a profound understanding of the relationships between different physical properties of marine fuels in pipelines. This advancement enables the prevention of illegal influences and modifications to the physical parameters within pipelines, effectively safeguarding against potential economic losses to the nation. Furthermore, for those non-fraudulent data affected by occasional errors in mass flow rate resulting in extreme values, our system will employ LSTM (Long Short-Term Memory) technology to accurately predict values, thereby minimizing losses due to legitimate errors caused by environmental factors. This project not only elevates the digitalization level of Singapore's marine fuel supply chain but also provides valuable practical experience and research outcomes for the application of software engineering and artificial intelligence.
author2 Soong Boon Hee
author_facet Soong Boon Hee
Zhang, Haoran
format Final Year Project
author Zhang, Haoran
author_sort Zhang, Haoran
title Data integrity verification for cloud storage
title_short Data integrity verification for cloud storage
title_full Data integrity verification for cloud storage
title_fullStr Data integrity verification for cloud storage
title_full_unstemmed Data integrity verification for cloud storage
title_sort data integrity verification for cloud storage
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176912
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