{"id":194,"date":"2025-05-02T16:27:56","date_gmt":"2025-05-02T16:27:56","guid":{"rendered":"https:\/\/csnet-conference.org\/2025\/?page_id=194"},"modified":"2025-08-15T09:26:35","modified_gmt":"2025-08-15T09:26:35","slug":"call-for-posters-demos","status":"publish","type":"page","link":"https:\/\/csnet-conference.org\/2025\/call-for-posters-demos\/","title":{"rendered":"Call For Posters & Demos"},"content":{"rendered":"\n

Call For Posters & Demos Papers<\/mark><\/strong><\/h2>\n\n\n\n

We are excited to announce the call for Demo and Poster submissions for the CSNet 2025 conference, to be held on October 20-22, 2025 at Abu Dhabi, UAE. CSNet 2025 will center around the \u201cGenAI and Cybersecurity\u201d theme, encompassing both AI for Cybersecurity and Cybersecurity for AI. The theme highlights the challenges and opportunities of AI in reinforcing security and privacy within traditional cybersecurity domains such as cloud computing and cryptography. The integration of GenAI into cybersecurity represents a pivotal advancement with the potential to revolutionize how we protect and secure digital infrastructure.<\/p>\n\n\n\n

Topics that include but are not limited to:<\/p>\n\n\n\n

\u2022 AI for cybersecurity: challenges, opportunities, and threats.
\u2022 AI-based security monitoring, anomaly detection, intrusion prevention, and response.
\u2022 Adversarial machine learning, secure AI model training, and adversarial mitigation.
\u2022 AI for cyber resilience, incident response, and threat hunting.
\u2022 AI-powered threat modeling, risk assessment, and automation.
\u2022 Large Language Model (LLM)-based anomaly and malware detection.
\u2022 AI for blockchain, IoT, and fog\/edge computing security.
\u2022 Reinforcement learning and federated learning in security.
\u2022 Security for AI Systems (GenAI, Agentic, etc.)
\u2022 Privacy risks, preservation techniques, and AI for surveillance.
\u2022 Ethical and regulatory considerations in AI-based security.
\u2022 Secure federated learning and data protection.
\u2022 Cybersecurity for smart cities, grids, IoT, and cyber-physical systems.
\u2022 Blockchain, decentralized security, and secure cloud computing.
\u2022 Network infrastructure security, resilient systems, and secure protocols.
\u2022 DoS attacks, wireless security, and cryptographic key management.
\u2022 GenAI for Network Traffic Analysis and Threat Detection
\u2022 AI-Augmented Network Protocol Security
\u2022 Edge and Fog Computing Security with Lightweight AI
\u2022 Adversarial Attacks and Defenses for Networked AI Systems
\u2022 Privacy-Preserving AI Techniques for Network Data
\u2022 AI-Driven Network Forensics and Incident Response<\/p>\n\n\n\n

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Submission Categories<\/mark><\/strong><\/p>\n\n\n\n

Demos<\/strong><\/p>\n\n\n\n