Abstract

This article presents an integrated secured framework of blockchain and bitcoin cryptology with the artificial intelligence of neural networks and machine learning. Recently blockchain has received special attention and been used as a new platform for digital information and to store encrypted data and process secure digital transactions. Furthermore, data on blockchain and bitcoin platforms are assumed to be highly encrypted and secured. Although blockchain and bitcoin databases are encrypted using private keys, many cryptocurrency bitcoin wallets have been reported hacked, which has resulted in losing millions of dollars. The artificial intelligent neural networks (AINN) algorithms possess the capability features of processing and operating encrypted data and will lead to minimal risk as a part of the blockchain to protect personal data and information as third wall defense against hacking. Simulation results and analysis demonstrates the effectiveness of this technique for protecting personal data and financial information.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.