Call For Tutorials
The 9th Cyber Security in Networking Conference (CSNet 2025) will be held on October 20-22, 2025, in Abu Dhabi, United Arab Emirates. The event addresses different topics related to Cybersecurity and AI technology. Tutorials are an integral part of the CSNet program. They provide participants with broad and comprehensive overviews of the cybersecurity-related ideas and concepts. They include theoretical issues as well as implementation issues. Half-day tutorials will take place on October 20, 2025, on the first day of the CSNet conference.
Topics 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
- 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
- LLM-Driven Cyber Threat Intelligence Aggregation
- 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
- Zero-Day Vulnerability Detection with LLMs
- Ethical and Regulatory Considerations in AI-based Security
- Reinforcement Learning-based Cybersecurity Solutions
- Real-Time Phishing Detection and Mitigation with LLMs
Submission guidelines
If interested in delivering a tutorial at CSNet 2025, you are invited to prepare a single PDF file (4 pages maximum) that must include the following information:
- Tutorial Title
- Abstract: A concise description of the content and goals of the tutorial
- Information about Instructor(s):
- First and Last Name
- Position
- Affiliation and address
- Email and Homepage (if existing)
- Tutorial Description
Any additional information beyond the abstract describing the tutorial. For eg:
- Is this a survey of several topics, or an in-depth study of one?
- How the tutorial topic is linked with AI?
- Why do you consider your tutorial topic to be important? What will the participants learn?
- Outline: Please give a rough overview of the tutorial schedule (topics).
- Biographical Sketch: Short CV, including information on prior teaching & research experience (courses, projects, etc.).
- Prior History: Please indicate whether an earlier version of this tutorial has been presented before. If so, when and where? Have the instructors given other tutorials in the past?
- Major References: This list will help identify the scope.
- Supplementary Materials: Anything that might help the reviewers evaluate the proposal, such as sample viewgraphs, links to potential course web pages of the instructor, or, if already available, draft tutorial slides.
Please submit the tutorial proposal in EDAS
Important dates
- Tutorial Submission Deadline: July 30, 2025
- Notification of Acceptance: August 15 2025
- Tutorial material: September 30, 2025 15/08/2025
- Presentation: October 20, 2025