DATA SECURITY USING BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE

Network Security

von Syed Jalal Ahmad, B. Hari Krishna, P. S. R Chandra Murty

80 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

The book proposes a framework called Sec Net for ensuring the safety of data over its lifecycle via the Internet at scale. The widespread dispersion of data across digital spaces has rendered authentication and authorization of its usage difficult. The proposed architecture is comprised of three primary elements: To generate authentic big data, block chain-based data exchange with ownership guarantee is necessary. Block chain technology makes it possible to verify the authenticity of the data and trace it back to its original creator. Data encryption enabled by artificial intelligence: This system has the potential to create a more secure and trustworthy digital ecosystem by developing more nuanced security rules. When used to cyber security, AI has the potential to discover new vulnerabilities and flaws in the system. The effectiveness of AI may be improved if individuals were incentivized to share their data via the establishment of a trustworthy system for exchanging monies in exchange for the supply of a security service. This book compares the typical Sec Net implementation with some of its alternatives.

• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement
• ISBN: 9786206782117
• Sprache: Englisch
• Erscheinungsdatum: 05.09.2023
• Größe: 220 x 150 mm
• Verlag: LAP LAMBERT Academic Publishing