Secure Real-Time Information Sharing in Artificial Intelligence Driven Freight Forwarding for Green Supply Chains

Apeksha Garg^1,*, Sudha Vemaraju²

¹Research Scholar, GITAM School of Business, GITAM University (Deemed to Be University) - Hyderabad, India

²Associate Professor, GITAM School of Business, GITAM University (Deemed to Be University) - Hyderabad, India

Emails: apeksha.k.garg@gmail.com; svemaraj@gitam.edu

Abstract

The integration of artificial intelligence (AI) and real-time information sharing is transforming the freight forwarding industry, enabling more sustainable and efficient green supply chains. However, the increasing reliance on interconnected systems raises significant cybersecurity challenges, particularly regarding secure data exchange and protection of sensitive information. This paper explores the critical role of cryptographic models and secure communication protocols in safeguarding real-time data sharing among AI-driven logistics networks. We analyze key security challenges faced by IoT-enabled freight systems and propose robust encryption and key distribution strategies to ensure confidentiality, integrity, and resilience. Our findings highlight the importance of secure information management in advancing sustainable, cyber-resilient supply chains that support environmental goals while maintaining operational efficiency.

Keywords: Artificial intelligence; Information sharing; Green logistics management; Sustainability; Freight forwarding industry; Green supply chain management