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dc.contributor.advisorMostakim, Moin
dc.contributor.authorJoy, Tanvir Ahmed
dc.contributor.authorAhmed, Sultan Gias Uddin
dc.contributor.authorAhmed, Mir Abrar
dc.contributor.authorIslam, Sazzad UL
dc.contributor.authorNima, Menuka Tasnim
dc.date.accessioned2021-09-02T12:23:10Z
dc.date.available2021-09-02T12:23:10Z
dc.date.copyright2021
dc.date.issued2021-06
dc.identifier.otherID 17101039
dc.identifier.otherID 16301151
dc.identifier.otherID 17101197
dc.identifier.otherID 17101457
dc.identifier.otherID 17101414
dc.identifier.urihttp://hdl.handle.net/10361/14962
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 49-51).
dc.description.abstractThe fast-growing cryptocurrency system is changing the financial world with its ensured blockchain technology. It’s specific use in expounding cryptocurrencies is highly acknowledged in the modern world, although the acceptance is growing in several other domains such as the Internet of Things (IoT), Artificial Intelligence, Fintech, and many other fields. Proof of Work (POW), which contains a digital ledger of transactions, plays a vital role in blockchain security. In addition, Blockchain uses a changeable public key which ensures an extra layer of privacy by containing individual user identity. Although, malwares has been planted to encapsulate the single user identity and the keys included in it. Focusing on Blockchain’s significant features, possible vulnerabilities in the system and cryptography, we will emphasize the deep learning process to generate hybrid public key in the blockchain system which will be binding with the face recognition features delivering to a compact & secured cryptosystem leading towards protection of sensitive data. After successfully generating the public & private key, we were able to implement those keys in blockchain system creating a person’s wallet and verifying the signatures. Our success rate in generating keys was close to 100% which were implemented in blockchain.en_US
dc.description.statementofresponsibilityTanvir Ahmed Joy
dc.description.statementofresponsibilitySultan Gias Uddin Ahmed
dc.description.statementofresponsibilityMir Abrar Ahmed
dc.description.statementofresponsibilitySazzad UL Islam
dc.description.statementofresponsibilityMenuka Tasnim Nima
dc.format.extent51 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectBlockchain
dc.subjectDeep Learning
dc.subjectPublic Key Cryptography
dc.subjectHybrid Public Key
dc.subjectFacial Recognition
dc.subject.lcshDeep Learning
dc.titleShield key: a deep learning process for the generation of public & private keys using hybrid architecture in blockchainen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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