The Cyber-AI 2025 Conference (IEEE @ Scopus) is the premier event uniting researchers, professionals, and innovators from academia and industry to explore cutting-edge advancements in cybersecurity and AI. This four-day conference, held in the picturesque coastal city of Varna, Bulgaria—often referred to as the "Sea Capital" for its location along the stunning Black Sea—will showcase groundbreaking research, practical solutions, and collaborative discussions on how AI is revolutionizing cybersecurity and how secure AI systems are being built to withstand evolving threats. Attendees will have the opportunity to engage with thought leaders, participate in interactive sessions, and network with global experts. From novel AI-driven threat detection systems to ethical challenges in AI governance, the event promises an in-depth look at the intersection of these transformative fields.

We are thrilled to invite researchers, industry professionals, and innovators to the Cyber-AI 2025 Conference, the foremost event at the nexus of cybersecurity and artificial intelligence.
Don't miss this unparalleled opportunity to shape the future of secure, intelligent systems with special interest in but not limited to:

AI, Machine Learning, Deep Learning, Federated Learning and Creativity
Innovations in AI Algorithm Development
Natural Language Processing (LNP)
Augmented Reality (AR), Virtual Reality (VR), and Extended reality (XR)
Developing Trustworthy and Reliable AI Systems
Intelligent Intrusion Detection Systems for Internet of Things (IoT) Applications
Network Forensics Leveraging Intelligent Systems and Data Analytics
Data Analytics Approaches for Privacy-by-Design in Smart Healthcare Systems
Datasets, Benchmarks, and Open-Source Tools for Cybersecurity Applications
Efficient Deep Learning Techniques for Resource-Constrained Environments
Adversarial Machine Learning and Mitigation of Backdoor Attacks
Blockchain Technologies for Strengthening Cybersecurity Frameworks
Advanced Intelligent Solutions and Data Analytics for Enhancing Cloud and Edge Security
Malware Detection and Vulnerability Assessment Using Intelligent Systems
Intelligent Approaches for Detecting and Mitigating Misinformation
Intelligent Systems for Detecting Cyber-Attacks Effectively
Sensors Attacks Detection and Mitigations
Cybersecurity for IoT Public Health Devices
Cybersecurity Management in IoT Devices
Cybersecurity in IoT Cloud Interfaces
Cybersecurity of Web Interface in the IoT Products
Cybersecurity of IoT in Education
Cybersecurity of Mobile Interface to IoT device
Cybersecurity Infrastructure for IoT Solutions
Cybersecurity Application for IoT networks
Cybersecurity in Smart Homes and Smart cities
Cybersecurity in Power, Solar Chimeneas, and Nucellar units
Cybersecurity for Smart Vehicles and Transportation Domains
Cybersecurity in Drones and Aviation systems