Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 4s (2025) 289 https://internationalpubls.com Integrating Blockchain and Machine Learning with 6G for Autonomous Vehicle Communication: Achieving Secure, Transparent, and Scalable V2X Networks Pannala Krishna Murthy 1 ,Bathula Gopal 2 , S.Venkateshwarlu 3 , . A. Srujana 4 1 .Professor & Director, Dept. of Electrical & Electronics Engg, Jayaprakash Narayan College of Engineering, Mahabubnagar – 509001, Telangana. Krishnamurthy.pannala@gmail.com 2 .Associate Professor, Department of Electrical and Electronics Engineering Priyadarshini Institute of Science and Technology for Women,Khammam Telangana. bgopal49@yahoo.com 3 .Professor of EEE, CVR College of Engineering, Hyderabad, Telangana. svip123@gmail.com 4 .Professor & HOD, Dept. of EEE, Vidya Jyothi Institute of Technology, Hyderabad, Telangana. srujanaa@yahoo.com Article History: Received: 24-09-2024 Revised: 26-11-2024 Accepted: 06-12-2024 Abstract: The rapid evolution of autonomous vehicle technology necessitates robust communication frameworks to ensure safety, reliability, and scalability in vehicular networks. Blockchain and machine learning technologies integrated with 6G networks develop a secure, transparent, and scalable Vehicle-to-Everything communication system. Leveraging ultra- low latency, massive connectivity and enhanced bandwidth, this framework addresses challenges including data integrity, real-time decision making and network scalability. Blockchain ensures secure and tamper-proof data exchange among vehicles, infrastructure and edge devices. Machine learning algorithms enhance predictive capabilities for route optimization, collision avoidance and traffic management. This synergy strengthens through a decentralized edge computing model enabling real-time data processing and reducing central network bottlenecks. Experimental evaluations on a simulated 6G-V2X testbed demonstrate significant improvements in network performance, security metrics and decision making accuracy compared to traditional frameworks. This establishes a foundational approach achieving trust, transparency and scalability in next generation autonomous vehicle networks. Insights provide for future deployments in intelligent, secure and efficient transportation ecosystems and smart cities. The proposed system serves as a pivotal step towards realizing communication infrastructures aligning with emerging demands. Keywords: autonomous, blockchain, framework, communication, secure, networks. 1. INTRODUCTION Technology surrounding autonomous vehicles is transforming the landscape of contemporary transportation systems at an unprecedented pace. With advanced levels of vehicle autonomy, the demand for real-time, secure, and intelligent communication frameworks is proving key. A major enabler of this transition is the use of Vehicle-to-Everything (V2X) communication, enabling real-time communication between autonomous vehicles (AVs), infrastructure, pedestrians, and other edge devices. The convergence of cutting-edge technologies like blockchain, machine learning (ML), and 6G networks has the power to provide solutions to the significant challenges faced by autonomous cars, such as security, transparency, data integrity, scalability, and real-time decision-making. Those cutting-edge technologies that are guaranteed to change or improve V2X communication systems such as AI, Dynamic Traffic State Estimation, Dynamic Traffic Assignment (DTA) methods[1]. The exponentially growing transportation ecosystem demands next-generation availability of communication networks. Autonomous vehicles need real-time data sharing among vehicles,