This research explores decentralized blockchain solutions for secure data exchange in industrial Internet of Things (IIoT) networks. The study addresses challenges related to data integrity, confidentiality, and trust, highlighting the importance of blockchain in providing a robust and transparent solution for secure data sharing in industrial environments.

Aiden Gabriel Cooper, Harper Olivia White, Noah Ethan Clark, Ella Rose Adams, Samuel Benjamin Turner

This paper proposes an AI-powered framework for risk assessment and anomaly detection in cloud-based healthcare systems. The framework leverages machine learning algorithms to detect security threats and ensure the integrity of patient data across distributed cloud services, ensuring compliance with healthcare regulations.

Charlotte Madison King, Liam Owen Harris, Mia Lucas Wright, Daniel Theodore Young, Sophia Grace Davis

This research investigates the integration of blockchain technology and artificial intelligence (AI) for enhancing cybersecurity in autonomous vehicles. It explores how blockchain can secure vehicle data, while AI-driven algorithms detect and prevent security breaches, improving the safety and reliability of autonomous transportation systems.

Amelia Sophie Brooks, Lucas Matthew Wright, Chloe Abigail Harris, Owen Benjamin Lee, Scarlett James Smith

This paper focuses on optimizing cloud resource management using AI-driven predictive algorithms. The study demonstrates how machine learning models can predict resource demands in real-time, enabling efficient scaling of cloud infrastructure for large-scale applications, ultimately reducing costs and improving service quality.

Jackson Ethan Wright, Isabella Lily Green, Caleb David Cooper, Natalie Grace Mitchell, Henry Alexander Clark

This research presents an AI-based intrusion detection system to enhance network security within cloud computing environments. It leverages machine learning algorithms to detect anomalies and unauthorized access, ensuring that cloud infrastructures remain secure and resilient against evolving cyber threats.

Benjamin Samuel Turner, Olivia Grace Walker, Jackson Ethan Harris, Ava Lily Morgan, Matthew Ryan Brooks

This paper explores the use of quantum computing to enhance the security of data transmission in blockchain-based systems. By utilizing quantum cryptography, the proposed method ensures the confidentiality and integrity of data exchanges, paving the way for future-proof blockchain applications in sensitive environments.

Henry Lucas Wilson, Zoe Sophia Johnson, Jack Alexander Adams, Emma Louise Parker, Thomas William White