Call For Papers

Since the first successful edition in Rio de Janeiro (Brazil, 2017) and all subsequent editions (2018 in Paris, 2019 in Quito, 2020 in Lausanne, 2021 in Abu Dhabi, 2022 in Rio de Janeiro, 2023 in Montreal, 2024 in Paris, and 2025 in Abu Dhabi) the CSNet conference has aimed to bring future visions for creating even greater value to all corners of the cybersecurity research society.

This year, CSNet 2026 will center around the “Cybersecurity and Resilient Networking for Emerging Systems in AI Era” theme, focusing on advancing security and resilience in emerging networks and digital systems. This encompasses addressing the evolving challenges and opportunities associated with protecting next-generation technologies and ensuring the security and privacy of increasingly interconnected infrastructures. As digital ecosystems continue to expand in scale and complexity, strengthening cybersecurity foundations is essential to safeguarding critical services and sustaining trust in modern information systems.

The growing interconnection of cloud platforms, edge environments, Internet of Things (IoT) deployments, mobile infrastructures, and cyber-physical systems has significantly transformed the threat landscape. Contemporary cybersecurity solutions must address sophisticated and persistent attacks while supporting scalability, reliability, and operational continuity. From proactive threat detection and risk assessment to adaptive defense mechanisms and resilient system architectures, modern approaches aim to enhance both the effectiveness and sustainability of security measures. These efforts contribute to the development of robust defense strategies capable of protecting digital infrastructures against increasingly advanced and coordinated cyber threats.

Artificial Intelligence (AI) is reshaping both the defensive and offensive dimensions of cyberspace. On one hand, AI enables scalable threat detection, predictive analytics, automated response, and intelligent security orchestration. On the other, AI systems themselves are increasingly targeted through adversarial attacks, model manipulation, data poisoning, and privacy leakage. This dual role of AI—as both a security enabler and a security target—demands rigorous research at the intersection of machine learning, system security, cryptography, privacy engineering, and governance.

Bringing together researchers and industry professionals at CSNet 2026 is essential for creating a secure digital future. Collaboration between academia and industry is vital to driving innovation and ensuring that theoretical research translates into practical, real-world applications. Researchers bring cutting-edge ideas and theoretical insights, while industry professionals provide practical perspectives and highlight the pressing challenges faced in real-world scenarios. Together, they can forge new pathways and develop comprehensive solutions that address both current and future cybersecurity challenges.

CSNet 2026 seeks contributions in the cybersecurity field, raising footprints with tremendous impact in many sectors of society (e.g., development, innovation, teaching, and practice) in the form of full papers, short papers, posters, demos, work-in-progress papers, and tutorials. We are particularly interested in innovative solutions and breakthrough ideas that can shape the future landscape of cybersecurity.

Authors are welcome to submit original papers (not published before and/or not simultaneously submitted to another venue) with topics that include but are not limited to:

• Advanced AI for Cybersecurity
• AI-based Cybersecurity for Next-Generation Technologies
• Challenges and Opportunities in AI-driven Security
• Emerging AI Threats and Countermeasures
• Privacy Preservation in AI-driven Security
• Privacy-preserving AI for Surveillance and Monitoring
• Cognitive Security and Adaptive Defense Mechanisms
• Advanced Deep Learning Techniques for Cyber Defense
• Blockchain
• Cloud Security
• Cognitive Cyber Security
• Cyber-attacks & defense
• Cyber-Physical System (CPS) Security
• Cybersecurity and Human Rights
• Data Center Network Control, Security, and Optimization
• Decentralized Security
• Resilient Networks and Systems
• Secure Protocol Design and Key Management
• Secure Architecture Design
• Secure Network Design
• Security Policies Design
• Security for the Internet of Things
• Security in Fog/edge Computing
• AI-driven Intrusion Detection and Prevention Systems
• AI-driven Security Monitoring and Anomaly Detection
• Cyber Threat Intelligence and Information Sharing
• AI-based Cybersecurity for IoT and Fog/edge Computing
• Adversarial Machine Learning and AI Security
• AI for Cyber Resilience and Incident Response Strategies
• AI for Biometric Security
• AI for Secure Software Development and DevSecOps
• AI-enabled Threat Hunting and Cyber Forensics
• AI-enabled Ethical Hacking
• AI for Blockchain Technology
• AI-based Secure Cloud Computing and Data Protection
• AI-based  Cybersecurity in Smart Cities/Grids and Urban Environments
• AI for Secure Authentication and Access Control Mechanisms
• AI-powered Threat Modeling and Risk Assessment
• AI-driven Security Automation and Orchestration
• Secure AI Model Training and Adversarial Mitigation
• AI-driven Security Operations Center (SOC)
• Secure Federated Learning
• Federated Learning cybersecurity solutions
• LLM-based Anomaly Detection
• LLM-based Malware Detection and Classification
• Secure Deployment of LLM-based Security Solutions
• AI for Hardware-Based Attacks
• AI-based Vulnerability Assessment and Patch Prioritization
• Zero-Day Attack Detection Using AI-based Techniques
• Ethical and Regulatory Considerations in AI-based Security
• Reinforcement Learning-based Cybersecurity Solutions
• Human-AI collaboration in Security Operation Centers (SOC)

Submitted papers are encouraged to address novel technical challenges or industrial and standard aspects of the key technologies for sustainable and intelligent AI cybersecurity solutions