Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/429365
Title: | An efficient security system for cloud servers using blockchain technique |
Researcher: | Meenakshi K |
Guide(s): | K Sasi Rekha |
Keywords: | Automation and Control Systems Computer Science Engineering and Technology |
University: | Saveetha University |
Completed Date: | 2022 |
Abstract: | The cloud storage deals with big-data, healthcare information, AI-based newlinedata, and utilized to access other industrial data worldwide with severe newlineprotection. The challenges on designing or handling this cloud system newline data privacy, security, cost management, multi-cloud environment, newlineperformance issues, network dependencies etc. which are considered newlinein recent research works. Similarly, we motivated to address the security newlinechallenges and to present an efficient secured technique for cloud newlinestorage servers with the use of blockchain technology in this dissertation. newlineWe initially, analyzed the various categories of cloud storage servers in newlineterms of open-source public networks, private networks availability, newlinecapacity, authentication procedure, and analyzed various metrics newlinerespective to security issues. The objective of this research is to provide newlinesecurity for the online transactions happening among Fabricator , newlineMerchant and Customer (FMC) and also to improve throughput , reducing newlineresponse time even when large file size is transferred among Fabricator, newlineMerchant and Customer . Two prominent technologies used as the newlinemodules such as software defined network (SDN) and Blockchain, have newlinebeen applied to offer the cloud storage environment the necessary newlinecapacities. The proposed system consists two modules which improves newlinethe performance in data storage authentication and protects the data newlinetransmission. The SDN module achieved better results in terms of newlinethroughput, computational time, and response time metrics obtained for newlinedifferent data files with different data-size. The blockchain module is newlinecreated the FMC relationship and the results achieved better results newlinecompared to traditional models newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/429365 |
Appears in Departments: | Department of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_titel page.pdf | Attached File | 69.91 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 140.78 kB | Adobe PDF | View/Open | |
03_contents.pdf | 151.44 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 71.2 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 344.25 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 601.56 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 325.15 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 630.67 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 622.95 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 224.96 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 36.44 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 36.37 kB | Adobe PDF | View/Open |
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