Call for Papers

The International Conference on Cybersecurity Systems, Technologies and applications (CSTA 2026) is a lively and inclusive gathering where researchers, academics, and industry professionals from across the globe come together to explore the latest advancements in Cybersecurity Systems and intelligent systems. Cybersecurity Systems received a lot of attention as AI continues to reshape industries and push the boundaries of what’s possible. CSTA 2026 creates a welcoming space for innovation, collaboration, and the exchange of ideas in the Cybersecurity domain. CSTA 2026 serves as a premier platform for researchers, academics, and industry professionals to converge and explore the latest advancements, challenges, and applications in the dynamic fields of Cybersecurity Models and Systems. The conference provides a collaborative environment for the exchange of ideas, fostering innovation and promoting interdisciplinary research at the intersection of these transformative domains.

The International Conference on Cybersecurity Systems, Technologies and applications (CSTA 2026) aims to bring together leading researchers, academics, and practitioners from around the world to share their latest findings, innovations, and applications in Artificial Intelligence and intelligent systems. CSTA 2026 provides a premier interdisciplinary platform for presenting advances and exchanging insights on the theoretical foundations, cutting-edge technologies, and real-world implementations of AI. CSTA 2026 will feature keynote talks, technical paper sessions, workshops, and tutorials covering a wide range of AI topics. We invite submissions of high-quality research papers describing original and unpublished results in all areas of Artificial Intelligence Systems. addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to:

Cybersecurity and Data-Driven Systems
Deep Learning, Representation Learning, and Transfer Learning
Reinforcement Learning and Adaptive Systems
Federated, Distributed, and Edge AI
Reinforcement Learning and Autonomous Agents
Federated Learning and Distributed AI Systems
AI Applications and Intelligent Systems
Scalable and High-Performance AI Architectures
Edge AI, Cloud AI, and Embedded Intelligence
Optimization and Resource-Aware AI Systems

Cybersecurity and Multimodal AI
Natural Language Processing and Understanding
Speech Recognition and Conversational Agents
Multimodal Learning and Vision-Language Systems
Knowledge Representation and Reasoning
Data Mining, Knowledge Discovery, and Information Retrieval
Automated Planning and Scheduling

Cybersecurity in Generative AI, Foundation Models, and Large Language Models
Generative AI and Large Language Models (LLMs)
Explainable and Responsible AI
Federated, Distributed, and Edge AI
Reinforcement Learning and Autonomous Agents
AI for Decision Support Systems
Natural Language Processing and Computational Linguistics
Multilingual and Low-Resource Language Models
Human-Computer Interaction (HCI) and Assistive Technologies
Conversational AI and Dialogue Systems
Computational Language and Human-Centered Systems
Prompt Engineering and Fine-tuning
Multimodal LLMs
Agentic AI

Cybersecurity Applications
Robotics and Autonomous Systems
AI for Healthcare, Smart Cities, and Transportation
AI in Finance, Education, and Industry 4.0
AI for Cybersecurity, Privacy, and Digital Trust
AI Infrastructure and Engineering
Recommender Systems and Personalization
AI for Social Good and Humanitarian Applications
Emerging Trends and Future Directions in AI Systems

Artificial Intelligence Security
Responsible and Trustworthy AI
Explainable AI and Transparency
Ethical and Societal Implications of AI
AI Safety, Robustness, and Security
AI Policy, Regulation, and Governance