IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Hybrid Artificially Intelligent Multi-Layer Blockchain and Bitcoin Cryptology (AI-MLBBC): Anti-Crime-Theft Smart Wall Defense

Hybrid Artificially Intelligent Multi-Layer Blockchain and Bitcoin Cryptology (AI-MLBBC): Anti-Crime-Theft Smart Wall Defense
View Sample PDF
Author(s): Murad Al Shibli (Abu Dhabi Polytechnic, UAE)
Copyright: 2020
Pages: 23
Source title: Encyclopedia of Criminal Activities and the Deep Web
Source Author(s)/Editor(s): Mehdi Khosrow-Pour D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-9715-5.ch075

Purchase


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.

Related Content

Sílvia Ribeiro. © 2024. 24 pages.
Bárbara Machado, Sónia Maria Martins Caridade. © 2024. 21 pages.
Gabriela Mesquita Borges. © 2024. 20 pages.
Gabriela Mesquita Borges. © 2024. 33 pages.
Nathália Castro da Silva, Rita Faria. © 2024. 25 pages.
Joana Torres, Jorge Gracia Ibáñez, Sónia Maria Martins Caridade. © 2024. 22 pages.
Camila Iglesias. © 2024. 12 pages.
Body Bottom