Academia
Diploma thesis 2024Software EngineeringEOSIO · nezamenljivi žetoni · Programski jezik

Methods for Verifying the Authenticity of NFTs and Big Data

In the theoretical part of this diploma thesis, the chosen methodology involved comprehensive research using two different research approaches, a comparative study and an extensive literature review.

Emil LeiferRačunalništvo in informatika · module Programsko inženirstvo · supervisor mag. Ervin Schaff · defence januar 2024
In brief

The project in five facts.

AuthorEmil Leifer
Supervisormag. Ervin Schaff
ModuleSoftware EngineeringComputer Science and Informatics
Employer / clientAcademia
Year2024januar 2024
About the project

Challenge, approach and results.

In the theoretical part of this diploma thesis, the chosen methodology involved comprehensive research using two different research approaches, a comparative study and an extensive literature review.

Solution and Method

In the theoretical part of this diploma thesis, the chosen methodology involved comprehensive research using two different research approaches, a comparative study and an extensive literature review. They focused primarily on researching the current environment of solutions and recommendations in the field of application development on the WAX blockchain, with particular focus on tokens that do not fall into the category of fungible tokens (Non-Fungible Tokens – NFT). This involved a detailed review of specialist literature dedicated to the development of the WAX platform, encompassing the use of the EOSIO programming language.

In addition, they delved into the recommendations and best practices presented by the WAX developer community. An important aspect of their research focused on the critical area of security and vulnerabilities that are inextricably linked to the development of the WAX platform, particularly in relation to NFTs. They conducted a thorough review of existing research, publications and methodologies addressing the secure implementation of smart contracts on the WAX blockchain.

Particular attention was devoted to the development and trading of NFTs, comparing different approaches and methods and highlighting the prevailing issues and limitations associated with security and vulnerabilities related to NFTs on the WAX platform. In transitioning to the empirical aspect of the dissertation, a quantitative research approach was employed to examine the current state and possibilities of development in the NFT market on the WAX platform. Their analysis involved an in-depth review of existing projects and research relating to NFTs on the WAX platform, enabling them to discern the trends and tendencies shaping the trajectory of this growing market.

Furthermore, within the framework of this diploma thesis, they employed a unique combination of big data analysis techniques and smart contract technology to formulate an innovative contractual solution. More precisely, they introduced a multi-signature method designed to enhance the security of NFT transactions on the WAX platform. This involved comprehensive analysis of data related to NFT transactions, user activities and other relevant factors, laying the foundations for a new and secure approach to NFT transactions in the WAX ecosystem.

Vizualizacija blockchain omrežja z vozlišči in podatkovnimi povezavami
Diploma thesis

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Module Programsko inženirstvo

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A diploma thesis at Academia solves a challenge from a company – often the one where you do your 800 hours of placement. Read about the Programsko inženirstvo module or book a consultation.

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