Chaotic Map Cryptographic Hash-Blockchain Technology with Supply Chain Management

Silvia Priscila, S. and Piramu Preethika, S. K. and Radhakrishnan, Sangeetha and Bagavathi Lakshmi, R. and Sakthivanitha, M. and Mahaveerakannan, R. (2024) Chaotic Map Cryptographic Hash-Blockchain Technology with Supply Chain Management. In: Lecture Notes in Networks and Systems. Springer, pp. 599-612.

Full text not available from this repository. (Request a copy)

Abstract

Blockchain technology is being used in many different sectors, one of which is supply chain management (SCM). Using a blockchain to SCM aims to improve system security and lower overall production costs. Though it doesn't look into real-world weaknesses in the architecture of BC-SCM systems, existing Blockchain Supply Chain Management (BC-SCM) systems are nonetheless susceptible to cyberattacks. Further, SCM is enhanced by the use of Internet of Things (IoT) technology in tracking and monitoring product activities inside value chains. In this paper, makes use of Chaotic Map Cryptographic Hash-Blockchain Technology-SCM (CMCH-BCT-SCM) to enhance blockchain trust while increasing value chain visibility and transparency. On the basis of a 1-D Enhanced Quadratic Map (EQM) with variable parameters, the CMCH keyed hash technique is suggested. To improve security, three steps are implemented: one-time key assignment, key expansion, and hash length extension. The simulation demonstrates that compared to traditional models, the CMCH-BCT-SCM model achieve better information flow, interoperability, traceability, and quality.

Item Type: Book Section
Subjects: Computer Science > Cyber Security
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 07 Oct 2024 09:13
Last Modified: 07 Oct 2024 09:13
URI: https://ir.vistas.ac.in/id/eprint/9309

Actions (login required)

View Item
View Item