The 2nd International Workshop on Cybersecurity: Blockchain and Artificial Intelligence Applications (CyBAI’25) will be held within the IEEE CiSt’2025 international congress the week of 04th - 10th October 2025, Ouarzazate - Marrakech, Morocco. 

The future of cybersecurity requires innovative and cutting-edge technologies to combat the growing number of cyber threats. Artificial Intelligence (AI) and Blockchain are two promising technologies that have the potential to revolutionise the field of cybersecurity. The use of AI and Blockchain can help create secure and resilient systems that can better defend against cyber attacks.
The 2nd "International Workshop on Cybersecurity: Blockchain and Artificial Intelligence Applications" invites researchers, academics, and industry professionals to submit papers on topics related to the application of AI and Blockchain in cybersecurity. The workshop aims to bring together experts in the field to share their latest research findings, exchange ideas, and discuss challenges and opportunities in the field.

• Evolution of Blockchain Technologies

• Distributed Consensus Algorithms

• Blockchain-Based Security Solutions

• Scalability and Interoperability in DLTs

• Sharding and Layer 2

• Privacy Preserving Techniques in the Blockchain

• Security of Smart contracts and dapps

• Attacks and Defense Methods in Blockchain

• Quantum-Resistant Cryptography for Blockchain

• Blockchain-Based Energy Optimization Techniques in WSN

• Blockchain-Based SDN for Secure Network Management and Control

• AI for Cybersecurity

• Blockchain for Federated Learning

• AI for Blockchain-Based Security Systems

• AI and Blockchain for Zero Trust Security

• AI and Blockchain for Decentralised I&AM

• Trust and Privacy in AI and Blockchain

• Blockchain-Based Detection and Prevention with AI

• Cyber Threat Intelligence and Response with Blockchain and AI

• Secure Multi-party Computation with AI and Blockchain

• Secure Hardware Enclave Design and Implementation for Cloud Security

• Hardware Security Verification Techniques for Detecting Hardware Vulnerabilities

• Secure Boot and Trusted Computing Platforms

• Graph Neural Networks (GNNs) for Threat Detection

• Large Language Models (LLMs) for Cyber Defense

• AI-driven Incident Response and Threat Hunting

• Machine Learning for Behavioral Analysis

• AI-Powered Anomaly Detection